{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "9e01488e-1767-470e-9dbc-3d198dc1b1d4",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "ee52b555-8848-497e-9c01-a879001adca4",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    .dataframe tbody tr th {\n",
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       "\n",
       "    .dataframe thead th {\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>用户id</th>\n",
       "      <th>语音通话整体满意度</th>\n",
       "      <th>网络覆盖与信号强度</th>\n",
       "      <th>语音通话清晰度</th>\n",
       "      <th>语音通话稳定性</th>\n",
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       "      <th>居民小区</th>\n",
       "      <th>办公室</th>\n",
       "      <th>高校</th>\n",
       "      <th>商业街</th>\n",
       "      <th>...</th>\n",
       "      <th>前3月ARPU</th>\n",
       "      <th>前3月MOU</th>\n",
       "      <th>外省流量占比</th>\n",
       "      <th>GPRS总流量（KB）</th>\n",
       "      <th>GPRS-国内漫游-流量（KB）</th>\n",
       "      <th>是否5G网络客户</th>\n",
       "      <th>是否实名登记用户</th>\n",
       "      <th>客户星级标识</th>\n",
       "      <th>当月欠费金额</th>\n",
       "      <th>前第3个月欠费金额</th>\n",
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       "      <td>否</td>\n",
       "      <td>银卡</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
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       "      <td>17425910</td>\n",
       "      <td>是</td>\n",
       "      <td>是</td>\n",
       "      <td>银卡</td>\n",
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       "      <td>-1</td>\n",
       "      <td>-1</td>\n",
       "      <td>-1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>413</td>\n",
       "      <td>1.0</td>\n",
       "      <td>6215849</td>\n",
       "      <td>6215849</td>\n",
       "      <td>否</td>\n",
       "      <td>否</td>\n",
       "      <td>三星</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.76</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
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       "      <td>6</td>\n",
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       "      <td>1</td>\n",
       "      <td>2</td>\n",
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       "      <td>...</td>\n",
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       "      <td>三星</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
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       "      <td>5</td>\n",
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       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>-1</td>\n",
       "      <td>2</td>\n",
       "      <td>-1</td>\n",
       "      <td>-1</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1193</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3857521</td>\n",
       "      <td>3857521</td>\n",
       "      <td>否</td>\n",
       "      <td>否</td>\n",
       "      <td>银卡</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 55 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   用户id  语音通话整体满意度  网络覆盖与信号强度  语音通话清晰度  语音通话稳定性  是否遇到过网络问题  居民小区  办公室  高校  \\\n",
       "0     1         10          6        6        6          1    -1    2  -1   \n",
       "1     2          2          1        1        1          1     1    2  -1   \n",
       "2     3         10          7        7        7          1    -1   -1  -1   \n",
       "3     4          6          7        7        6          1     1    2  -1   \n",
       "4     5          5          5        4        3          1    -1    2  -1   \n",
       "\n",
       "   商业街  ...  前3月ARPU  前3月MOU  外省流量占比  GPRS总流量（KB） GPRS-国内漫游-流量（KB）  是否5G网络客户  \\\n",
       "0   -1  ...      0.0     480     1.0      8450801          8450801         是   \n",
       "1    4  ...      0.0     480     1.0     17425910         17425910         是   \n",
       "2   -1  ...      0.0     413     1.0      6215849          6215849         否   \n",
       "3   -1  ...      0.0     301     1.0      5370710          5370710         是   \n",
       "4   -1  ...      0.0    1193     1.0      3857521          3857521         否   \n",
       "\n",
       "   是否实名登记用户  客户星级标识  当月欠费金额  前第3个月欠费金额  \n",
       "0         否      银卡     0.0       0.00  \n",
       "1         是      银卡     0.0       0.00  \n",
       "2         否      三星     0.0       3.76  \n",
       "3         否      三星     0.0       0.00  \n",
       "4         否      银卡     0.0       0.00  \n",
       "\n",
       "[5 rows x 55 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "traindata=pd.read_excel('./data/附件1语音业务用户满意度数据.xlsx')\n",
    "traindata.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "c95f1dca-fd78-4224-9416-8ae7f854c0cc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>用户id</th>\n",
       "      <th>是否遇到过网络问题</th>\n",
       "      <th>居民小区</th>\n",
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       "      <th>高铁</th>\n",
       "      <th>其他，请注明</th>\n",
       "      <th>...</th>\n",
       "      <th>当月ARPU</th>\n",
       "      <th>当月MOU</th>\n",
       "      <th>前3月ARPU</th>\n",
       "      <th>前3月MOU</th>\n",
       "      <th>外省流量占比</th>\n",
       "      <th>GPRS总流量（KB）</th>\n",
       "      <th>GPRS-国内漫游-流量（KB）</th>\n",
       "      <th>是否5G网络客户</th>\n",
       "      <th>客户星级标识</th>\n",
       "      <th>是否不限量套餐到达用户</th>\n",
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       "      <td>否</td>\n",
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       "      <td>...</td>\n",
       "      <td>89.00</td>\n",
       "      <td>662</td>\n",
       "      <td>89.0</td>\n",
       "      <td>80</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6545659</td>\n",
       "      <td>0</td>\n",
       "      <td>否</td>\n",
       "      <td>三星</td>\n",
       "      <td>是</td>\n",
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       "      <td>70.00</td>\n",
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       "      <td>69.1</td>\n",
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       "      <td>三星</td>\n",
       "      <td>否</td>\n",
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       "      <td>1</td>\n",
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       "      <td>-1</td>\n",
       "      <td>-1</td>\n",
       "      <td>-1</td>\n",
       "      <td>-1</td>\n",
       "      <td>-1</td>\n",
       "      <td>-1</td>\n",
       "      <td>...</td>\n",
       "      <td>56.00</td>\n",
       "      <td>496</td>\n",
       "      <td>56.0</td>\n",
       "      <td>258</td>\n",
       "      <td>0.0</td>\n",
       "      <td>13254086</td>\n",
       "      <td>0</td>\n",
       "      <td>是</td>\n",
       "      <td>三星</td>\n",
       "      <td>是</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 44 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   用户id  是否遇到过网络问题  居民小区  办公室  高校  商业街  地铁  农村  高铁  其他，请注明  ... 当月ARPU  当月MOU  \\\n",
       "0     1          2    -1   -1  -1   -1  -1  -1  -1      -1  ...  45.37    161   \n",
       "1     2          1     1    2  -1   -1  -1  -1  -1      -1  ...  60.00    270   \n",
       "2     3          2    -1   -1  -1   -1  -1  -1  -1      -1  ...  89.00    662   \n",
       "3     4          1     1   -1  -1   -1  -1  -1  -1      -1  ...  70.00    645   \n",
       "4     5          1     1   -1  -1   -1  -1  -1  -1      -1  ...  56.00    496   \n",
       "\n",
       "   前3月ARPU  前3月MOU  外省流量占比  GPRS总流量（KB）  GPRS-国内漫游-流量（KB）  是否5G网络客户 客户星级标识  \\\n",
       "0     23.6     139     0.0     14360274                 0         否     一星   \n",
       "1     60.0     102     0.0      9585266                 0         否     三星   \n",
       "2     89.0      80     0.0      6545659                 0         否     三星   \n",
       "3     69.1     333     0.0      8266166                 0         否     三星   \n",
       "4     56.0     258     0.0     13254086                 0         是     三星   \n",
       "\n",
       "   是否不限量套餐到达用户  \n",
       "0            否  \n",
       "1            是  \n",
       "2            是  \n",
       "3            否  \n",
       "4            是  \n",
       "\n",
       "[5 rows x 44 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "testdata=pd.read_excel('./data/附件3语音业务用户满意度预测数据.xlsx')\n",
    "testdata.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "fc4cadd9-bd34-4af9-afaf-4ee6fc652665",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['4\\\\5G用户',\n",
       " '客户星级标识',\n",
       " '套外流量（MB）',\n",
       " '前3月ARPU',\n",
       " '是否4G网络客户（本地剔除物联网）',\n",
       " '当月ARPU',\n",
       " '通话过程中突然中断',\n",
       " 'mos质差次数',\n",
       " '语音通话-时长（分钟）',\n",
       " '用户描述',\n",
       " '通话过程中一方听不见',\n",
       " '高校',\n",
       " '未接通掉话次数',\n",
       " 'GPRS总流量（KB）',\n",
       " '是否关怀用户',\n",
       " '是否遇到过网络问题',\n",
       " '是否5G网络客户',\n",
       " '高铁',\n",
       " '终端品牌',\n",
       " '农村',\n",
       " '省际漫游-时长（分钟）',\n",
       " '手机没有信号',\n",
       " '居民小区',\n",
       " '脱网次数',\n",
       " '通话中有杂音、听不清、断断续续',\n",
       " '当月MOU',\n",
       " '用户描述.1',\n",
       " '外省语音占比',\n",
       " '有信号无法拨通',\n",
       " '商业街',\n",
       " '前3月MOU',\n",
       " 'GPRS-国内漫游-流量（KB）',\n",
       " '办公室',\n",
       " '地铁',\n",
       " '终端品牌类型',\n",
       " '用户id',\n",
       " '串线',\n",
       " '套外流量费（元）',\n",
       " '其他，请注明',\n",
       " '其他，请注明.1',\n",
       " '外省流量占比']"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "setcols=list(set(traindata.columns).intersection(set(testdata.columns)))  \n",
    "setcols"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "9fc2fee5-64fa-46dc-b8ac-d4582120e430",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Counter({nan: 5233, '是': 200})"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from collections import Counter\n",
    "Counter(traindata['是否关怀用户'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "c318d36b-ace7-4603-94cb-3c735728b8d9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Counter({'否': 2428, '是': 171})"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Counter(testdata['是否关怀用户'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "275effed-3975-4a71-9e50-6c1dbeb789ab",
   "metadata": {},
   "outputs": [],
   "source": [
    "traindata['是否关怀用户'].fillna('否',inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "df99d10e-ca4b-483a-973e-16ffa051479d",
   "metadata": {},
   "outputs": [],
   "source": [
    "dinglei=['地铁','是否遇到过网络问题','通话过程中突然中断', '是否5G网络客户', '外省语音占比', '办公室','手机没有信号','其他，请注明.1', '串线', '农村','高校', '客户星级标识',\n",
    " '通话过程中一方听不见',\n",
    " '其他，请注明','4\\\\5G用户', '通话中有杂音、听不清、断断续续', '有信号无法拨通',\n",
    " '居民小区',\n",
    " '是否4G网络客户（本地剔除物联网）',\n",
    " '高铁',\n",
    " '商业街', '是否关怀用户']\n",
    "dingliang=['语音通话整体满意度', '网络覆盖与信号强度', '语音通话清晰度', '语音通话稳定性','当月ARPU','前3月MOU', '脱网次数', '套外流量费（元）', '套外流量（MB）', '未接通掉话次数', '语音通话-时长（分钟）', '省际漫游-时长（分钟）', 'GPRS-国内漫游-流量（KB）', '当月MOU', 'mos质差次数',\n",
    " '前3月ARPU', '外省流量占比']\n",
    "\n",
    "traindata_clean=traindata[dingliang].copy()\n",
    "testdata_clean=testdata[dingliang[4:]].copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "0eee68f0-1819-4ef0-9ec9-84298010989a",
   "metadata": {},
   "outputs": [],
   "source": [
    "for i in dinglei:\n",
    "    traindata_clean=pd.concat([traindata_clean,pd.get_dummies(traindata[i],prefix=i)],axis=1)\n",
    "    testdata_clean=pd.concat([testdata_clean,pd.get_dummies(testdata[i],prefix=i)],axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "ef5cbc34-f9b3-44d7-829e-06a47df87f05",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "外省流量占比 2\n"
     ]
    }
   ],
   "source": [
    "for i in traindata_clean.columns:\n",
    "    ull=traindata_clean[i].isnull().sum()\n",
    "    if ull>0:\n",
    "        print(i,ull)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "aa2f3505-a247-4c5f-aacc-4e4336f85a82",
   "metadata": {},
   "outputs": [],
   "source": [
    "for i in testdata_clean.columns:\n",
    "    ull=testdata_clean[i].isnull().sum()\n",
    "    if ull>0:\n",
    "        print(i,ull)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "c3ca357f-8adb-4870-ab1f-63641c6761fd",
   "metadata": {},
   "outputs": [],
   "source": [
    "traindata_clean['外省流量占比'].fillna(traindata_clean['外省流量占比'].mean(),inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "2b8e6bfa-8079-44f2-87ab-4ac76252bd39",
   "metadata": {},
   "outputs": [],
   "source": [
    "for i in traindata_clean.columns:\n",
    "    ull=traindata_clean[i].isnull().sum()\n",
    "    if ull>0:\n",
    "        print(i,ull)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "6596089e-621c-4064-9600-8cc92119e254",
   "metadata": {},
   "outputs": [],
   "source": [
    "traindata_clean.to_csv('./ans1/traindata_clean_附件1.csv',encoding='GBK',index=None)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "b75b190f-2215-46d4-928a-02c214bf4f96",
   "metadata": {},
   "outputs": [],
   "source": [
    "testdata_clean.to_csv('./ans1/testdata_clean_附件3.csv',encoding='GBK',index=None)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "207b12e1-ba5c-44db-8524-bb92b127cf84",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "\n",
    "from sklearn.tree import DecisionTreeClassifier\n",
    "\n",
    "from sklearn.model_selection import train_test_split\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "from sklearn.tree import plot_tree\n",
    "\n",
    "from sklearn import tree\n",
    "\n",
    "from sklearn.metrics import classification_report\n",
    "\n",
    "import numpy as np\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "617f5520-d13b-4cbc-8595-a198e0c32d4a",
   "metadata": {},
   "outputs": [],
   "source": [
    "Y1=traindata_clean[traindata_clean.columns[0]]\n",
    "Y2=traindata_clean[traindata_clean.columns[1]]\n",
    "Y3=traindata_clean[traindata_clean.columns[2]]\n",
    "Y4=traindata_clean[traindata_clean.columns[3]]\n",
    "X=traindata_clean[traindata_clean.columns[4:]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "72fce20c-1bf8-4316-8911-01c6b8488991",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([10,  2,  6,  5,  7,  8,  4,  9,  1,  3], dtype=int64)"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Y1.unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "33d98cab-8147-4d9a-9cd1-d09237254d7a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "全部数据训练效果\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           1       1.00      1.00      1.00       209\n",
      "           2       1.00      1.00      1.00        42\n",
      "           3       1.00      1.00      1.00        71\n",
      "           4       1.00      1.00      1.00        55\n",
      "           5       1.00      1.00      1.00       172\n",
      "           6       1.00      1.00      1.00       182\n",
      "           7       1.00      1.00      1.00       214\n",
      "           8       1.00      1.00      1.00       567\n",
      "           9       1.00      1.00      1.00       764\n",
      "          10       1.00      1.00      1.00      3157\n",
      "\n",
      "    accuracy                           1.00      5433\n",
      "   macro avg       1.00      1.00      1.00      5433\n",
      "weighted avg       1.00      1.00      1.00      5433\n",
      "\n"
     ]
    }
   ],
   "source": [
    "#选择决策树模型为：entropy。\n",
    "YY=Y1\n",
    "\n",
    "DT=DecisionTreeClassifier( criterion='entropy')\n",
    "\n",
    "see1=DT.fit(X,YY)\n",
    "\n",
    "y_pred=DT.predict(X)\n",
    "print('全部数据训练效果')\n",
    "print(classification_report(y_pred,YY))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "87680994-a16d-4aaa-840c-8a69dcbf07d7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "from matplotlib import pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "# 重要性\n",
    "features_import = pd.DataFrame(X.columns, columns=['feature'])\n",
    "features_import['importance'] = DT.feature_importances_  # 默认按照gini计算特征重要性\n",
    "allcol=dinglei+dingliang\n",
    "def getcol(x):\n",
    "    for i in allcol:\n",
    "        if i in x:\n",
    "            return i\n",
    "\n",
    "features_import['feature']=features_import['feature'].apply(lambda x:getcol(x))\n",
    "features_import=features_import.groupby('feature').sum().reset_index(drop=False)\n",
    "features_import.sort_values('importance', inplace=True)\n",
    "# 绘图\n",
    "from matplotlib import pyplot as plt\n",
    "plt.rcParams['font.sans-serif'] = ['SimHei']  # 显示中文黑体\n",
    "# plt.rcParams['axes.unicode_minus'] = False # 负值显示\n",
    "fig, ax = plt.subplots(figsize=(15, 10))\n",
    "\n",
    "plt.barh(features_import['feature'], features_import['importance'], height=0.7, color='#008792', edgecolor='#005344') # 更多颜色可参见颜色大全\n",
    "plt.xlabel('feature importance') # x 轴\n",
    "plt.ylabel('features') # y轴\n",
    "plt.title('语音通话整体满意度 Feature Importances') # 标题\n",
    "for a,b in zip( features_import['importance'],features_import['feature']): # 添加数字标签\n",
    "    plt.text(a+0.001, b,'%.3f'%float(a)) # a+0.001代表标签位置在柱形图上方0.001处\n",
    "plt.savefig('./ans1/语音通话整体满意度featureimportance')\n",
    "plt.show()\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "5279a98f-e186-4b35-a30c-1bd8b4fef16c",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n",
      "(dot.exe:7544): Pango-WARNING **: couldn't load font \"MicrosoftYaHei Not-Rotated 14\", falling back to \"Sans Not-Rotated 14\", expect ugly output.\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "'ans1\\\\语音通话整体满意度决策树图.pdf'"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import warnings \n",
    "warnings.filterwarnings('ignore')\n",
    "#决策树可视化，画出决策树的图\n",
    "\n",
    "import graphviz\n",
    "#语音通话整体满意度\t网络覆盖与信号强度\t语音通话清晰度\t语音通话稳定性\n",
    "\n",
    "dot_data = tree.export_graphviz(see1, out_file=None,feature_names=X.columns, filled=True, rounded=True)  # 重要参数可定制\n",
    "\n",
    "dot_data = dot_data.replace('helvetica', 'MicrosoftYaHei')\n",
    "graph = graphviz.Source(dot_data)\n",
    "graph.render(view=True, format=\"pdf\", filename=\"./ans1/语音通话整体满意度决策树图\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "35423f10-99f8-454b-89df-70bb4ef25f75",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "           1       1.00      1.00      1.00       237\n",
      "           2       1.00      1.00      1.00        62\n",
      "           3       1.00      1.00      1.00        90\n",
      "           4       1.00      1.00      1.00        90\n",
      "           5       1.00      1.00      1.00       211\n",
      "           6       1.00      1.00      1.00       271\n",
      "           7       1.00      1.00      1.00       327\n",
      "           8       1.00      1.00      1.00       658\n",
      "           9       1.00      1.00      1.00       786\n",
      "          10       1.00      1.00      1.00      2701\n",
      "\n",
      "    accuracy                           1.00      5433\n",
      "   macro avg       1.00      1.00      1.00      5433\n",
      "weighted avg       1.00      1.00      1.00      5433\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n",
      "(dot.exe:5248): Pango-WARNING **: couldn't load font \"MicrosoftYaHei Not-Rotated 14\", falling back to \"Sans Not-Rotated 14\", expect ugly output.\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "'ans1\\\\网络覆盖与信号强度决策树图.pdf'"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "YY=Y2\n",
    "DT=DecisionTreeClassifier( criterion='entropy')\n",
    "\n",
    "see1=DT.fit(X,YY)\n",
    "\n",
    "y_pred=DT.predict(X)\n",
    "\n",
    "print(classification_report(y_pred,YY))\n",
    "\n",
    "\n",
    "# 重要性\n",
    "features_import = pd.DataFrame(X.columns, columns=['feature'])\n",
    "features_import['importance'] = DT.feature_importances_  # 默认按照gini计算特征重要性\n",
    "allcol=dinglei+dingliang\n",
    "def getcol(x):\n",
    "    for i in allcol:\n",
    "        if i in x:\n",
    "            return i\n",
    "\n",
    "features_import['feature']=features_import['feature'].apply(lambda x:getcol(x))\n",
    "features_import=features_import.groupby('feature').sum().reset_index(drop=False)\n",
    "features_import.sort_values('importance', inplace=True)\n",
    "# 绘图\n",
    "from matplotlib import pyplot as plt\n",
    "plt.rcParams['font.sans-serif'] = ['SimHei']  # 显示中文黑体\n",
    "# plt.rcParams['axes.unicode_minus'] = False # 负值显示\n",
    "fig, ax = plt.subplots(figsize=(15, 10))\n",
    "\n",
    "plt.barh(features_import['feature'], features_import['importance'], height=0.7, color='#008792', edgecolor='#005344') # 更多颜色可参见颜色大全\n",
    "plt.xlabel('feature importance') # x 轴\n",
    "plt.ylabel('features') # y轴\n",
    "plt.title('网络覆盖与信号强度 Feature Importances') # 标题\n",
    "for a,b in zip( features_import['importance'],features_import['feature']): # 添加数字标签\n",
    "    plt.text(a+0.001, b,'%.3f'%float(a)) # a+0.001代表标签位置在柱形图上方0.001处\n",
    "plt.savefig('./ans1/网络覆盖与信号强度featureimportance')\n",
    "plt.show()\n",
    "\n",
    "dot_data = tree.export_graphviz(see1, out_file=None,feature_names=X.columns, filled=True, rounded=True)  # 重要参数可定制\n",
    "\n",
    "dot_data = dot_data.replace('helvetica', 'MicrosoftYaHei')\n",
    "graph = graphviz.Source(dot_data)\n",
    "graph.render(view=True, format=\"pdf\", filename=\"./ans1/网络覆盖与信号强度决策树图\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "id": "0561d5cb-646d-40b2-82ed-d58cea0efbe4",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "           1       1.00      1.00      1.00       184\n",
      "           2       1.00      1.00      1.00        40\n",
      "           3       1.00      1.00      1.00        59\n",
      "           4       1.00      1.00      1.00        85\n",
      "           5       1.00      1.00      1.00       161\n",
      "           6       1.00      1.00      1.00       207\n",
      "           7       1.00      1.00      1.00       268\n",
      "           8       1.00      1.00      1.00       643\n",
      "           9       1.00      1.00      1.00       805\n",
      "          10       1.00      1.00      1.00      2981\n",
      "\n",
      "    accuracy                           1.00      5433\n",
      "   macro avg       1.00      1.00      1.00      5433\n",
      "weighted avg       1.00      1.00      1.00      5433\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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ATgFmRsSBWbJgxCptkZmZmZmZWRPp2LEjCxYsAFJHf/HixQ2+t3Pnztx+++0cddRR/P3vf+f666/n6aef5txzz+XMM88ke0m70rz4oDVKRHwJXAz0AAqAayVtKulWoAswMiIezpICA0kjCZ7PKWJeRAzK/QEer/WYhZK6AIuy4x8Az2SfS4HvN0njzMzMzMzMVrG+fftSWloKwIwZM+jevXuD7hs9ejTPPJO6QZ988gmdO3embdu29O7dG4AjjjhildXRIwZsRVQCg4CFwLqkaQUbApH9oJS6OoTUua/KuXf9BpQ/I7t3Rna8IdlUA9L0hbrH2dQi6QTgBADW69CQW8zMzMzMzFap4cOHU1hYyJw5c5g0aRJFRUWMHTt2mTsUAJxxxhkcddRRSGLPPfesSQiMHTuWyy67bJWNFgAnBmzFXQB8Ckys62JEBHCypItI6w1MyC5tJWlyrfBvs+RUgpeAY4B7SNMJPgM6Ztc2yI47135kHXW4AbgBQPl5S103MzMzMzNranl5eZSUlFBcXMwZZ5xBQUEBffr0qTO2pKSk5vPWW29dM9Ig1+23377K6+ipBLaifgGcBWxCSjDVJJkknSnp6OywM/BJdn5r0i4FQ3J/gCdrlf0SabrAS9nxC6QRCgCFwIuknQ16ZOd6AHNXUbvMzMzMzMxWqfz8fEaMGEFBQUFLV6VOTgzYimgDXBARZwEfRsTciBgOVI9luQE4StIzQFu+7vifADxQR3ntWPKN/9vAf4B3suOrgR6SpgALgPuA64ATJT0LdCDthGBmZmZmZmaN5KkEtiI6Akg6D/gg+7wecDdwa0SUk7Y0rJGNFtgTODfn3LrAc9nhXICIOCY77p39rj4+sFYd3gZ2WdmGmJmZmZmZtXZKU8HNmp6k9hGxqNa5NhHR8P06VlD7TTaKyt36NvVjzMzMzMysldosvwtzbyxq6WrUS9L0iOhX1zWPGLBmUzspkJ1r8qQAQJ9uPZh2f3FzPMrMzMzMzGyN4jUGzMzMzMzMzJbjgw8+YPLkyXz++ectXZVVzokBMzMzMzMzazVGjRrFgAEDGDduXL0xZWVlFBYW1hy/+uqrHHLIITz33HPstttuLFy4sObaP/7xD/bcc88mrXNT81QCaxVmvDMbHTx0+YFmZmZmZrbGq2++/8SJE6mqqmLKlCmMGTOGmTNn0qtXryViysvLGTlyJBUVFTXn/vnPf3LrrbeyzTbb8Nprr/HWW2/Ru3dvIoJTTz11iUTBmsiJAWsUSd8EFkfELEmHAN+NiLGSNgJ2i4g/Z3FvAGW1bt8W2DMiXm3eWkNlZSX0G9bcjzUzMzMzsxZQNu2hOs+XlJQwYsQIAAYPHkxpaelSiYG2bdsyYcIEDjjggJpzhx56KJWVlTz66KOUl5fTs2dPAG699VZ23313nnjiiSZqSfPwVAJrrK7AX7JEwFdApaQ2wC1AQU5cWUQMyv0BHgdq0m6SNpI0X1KH7Pg2SS9Lel7SfZLa55x7VtLDkjpKKpG0Rc49uzZT283MzMzMbA1WUVFB165dAcjLy6OsrPa7zHS+U6dOS52fP38+9957LxtttBGS+N///sddd93F6aef3uT1bmpODFijRMTTwBVAj5zTPYCpEXFtzrm8rANf8wPsDVTlxAwF1gUG5pw7JSJ2BuYDQ3LOFQIvAEes0gaZmZmZmVmr0bFjRxYsWACkjv7ixQ3fJK1z587cfvvtdOjQgb///e+cddZZXHLJJbRv376pqttsPJXAGkXS3cA3gMXARkBHYNfsWveIOCkLnRcRQ2rde1ut4vYGrsl+P5kTp6zc2hN18oF3V0lDzMzMzMys1enbty+lpaX079+fGTNm0Lt37wbdN3r0aA477DAGDhzIJ598QufOnfnb3/7GzJkzAXjllVcYO3bsMhc0XJ05MWCNEhF1vrGX1Bl4MOfU+g0obmdSUuGvOef+SEo4PAw8BRwF/FHSfOAfwD3AcQ2pq6QTgBMAWK9DQ24xMzMzM7O12PDhwyksLGTOnDlMmjSJoqKiBnXozzjjDI466igkseeee9K7d2/+85//1FwfNGjQGpsUACcGrJEknQ3sT1pfIFc7oDLneCtJk2vFfBs4Pytne2Bj4H6gu6Qts5hTSMmCryIi0uABTomI0pw6RK1yax+nkxE3ADcAKD+vzhgzMzMzM2s98vLyKCkpobi4mDPOOIOCggL69OlTZ2xJSUnN56233prS0tI642rHromcGLBGiYjxwPja53NHDEjaGng5In5YK+a2nMO9gIsj4veSLsqOq10PPCvpqnqqUUZa1+C/2e+5K9IWMzMzMzNrffLz82t2JrDEiQFrlGwRwcXZT67cv0snAA/UcXs7vn67vxdQvXznU8DJpAUHiYhySU8BB9VTjd8B10mqBF6MiDcb2QwzMzMzMzPLODFgjZJtO7iUbMTAY9logT2Bc3OurQs8lx3OzcqpWZgw2+ng6VrP+Vn28d466jAd+P6KtsHMzMzMzMy+5sSArRIR8QkwAEBS/4hYlHPtK0k7RUTD9wJZxdq1a0fltIda6vFmZmZmZtaMNsvv0tJVWKM4MWCrXG5SIOdciyUFAPp068G0+4tbsgpmZmZmZmarpTYtXQEzMzMzMzMzazlODJiZmZmZNdKoUaMYMGDAMvctrx3z1ltvsd9++1FYWMhpp50GwKeffso+++zD0KFDOfDAA1m4cGGz1N/MLJenElirMOOd2ejgoS1dDTMzM1uDbJbfhbk3Fi11fuLEiVRVVTFlyhTGjBnDzJkz6dWr13Jjzj77bM455xz69+/PIYccQklJCf/85z859dRTGTp0KKNHj+bxxx9n2LBhzdVEMzPAiYE1lqQOEfHlcmLaQMvP78/qkhcRn9VxviewYUS8LKkdUBURsXQJS93XLiIqs89tgFjWfZWVldDP/ydrZmZmDVdWz8LFJSUlNXugDx48mNLS0qUSA3XF/Oc//+F73/seAJtuuimffvopY8aMqbnno48+YtNNN22KppiZLZMTA81M0hvA+7VOfysiumbXHwQ2BII01aMdsBAQsG5E7Jrdc5mkB7KYG4EKoAPwCfB8RPwSKATOk7Q58N+sjMkRcUn2rGeBAyPiY0lnAXdGRE3dJOUBT0dE3+x4E2Am8Eo9zfsWMCQiXpPUDRgVEdXbFj4h6fCIeKvWPe2AP0n6AXA7kCepuoP/A2CTiPhS0ofAi0AP4LfAkZK6Zu39FDgTmFFPvczMzMxWmYqKCrp27QpAXl4es2bNalDMwQcfzAUXXED//v15/PHHueSSS2rin3/+ecrLy+nfv3/zNMLMLIcTA83vS2ByrXNdqz9ExHAASR2BScCfIuLaOsq5APgF8GQd16qysv4GDJb0d+D3wKSICEm/Au7J4uZn98wAbpV0KrBDdq4N0EnSsdlz5pGSAntnnfURwGMRMV/SgcBBwILs3iOAGZLWAbYDvg3cmCUbiIidst//knQ2MD8iDsxthKRXgK+yww+BUlJy492IGCLpMuCOiHi9ju/AzMzMrEl07NiRBQvSP3nmz5/P4sVLD86sK2bs2LGUlpbyu9/9jpEjR9KxY0cA5s2bxymnnMIDDzzQfI0wM8vhxQdbxuRaP0ts7yfpe8BUYCvgDUlPSfq5pHWrYyJiXvY2vg3wF+AG4D7gMnL+XCXtTxpN8AzwjKSNgO8A7XOfGRGTgJFZ7IfAXGBOVrcyUge9+k3+A5K2An4JnCxpS6BmHJykDYDvAW8ADwBXANOBnwH/AM7K4jaT9FxETKxvukPO9IAvgGmkkQ9tJE0FdgauyT6bmZmZNYu+fftSWloKwIwZM+jevXuDY3bYYQfeffddTj31VAAWLlzIiBEjuOSSS+jWrVuz1N/MrDaPGGh+s4HLa50rA5C0LfBrYHvgRODY7PqRwDjg9ezt/QLgHNIb/LNIHeZvAxsD6wJ3ZeX1BYqy40uAPOD/kUYt1MzHl/RD4AzgjYg4QdLNwAER8bmkTyPisSyuQ3bLmcD9wGOkhMHtwJ3AHtn16lEHjwGHZfV6DZgC3BcRT2VxXwGLJG0BvAT8k5TUWCciao+jmwEMISUqPiJNx7gkK/tY6iDpBOAEANbrUFeImZmZWaMNHz6cwsJC5syZw6RJkygqKmLs2LFL7FBQO2bq1PQe43e/+x2nnnoq66+/PgA333wz06dPZ/z48YwfP57Ro0dzyCGHtEi7zKz1UgPWebNVQNK3SJ3UqnpC2gCzgM+BuyNisaSbgLsioiQroxCYGxEzs+NHgBeAHwLrkNYYmEtKEnQD2gI7AdsA3wd+CmxL6rifD9wG7E3qbAcwJSL6S/od8FZE/D9JU6s76Vli4PGIGCTpr8CVpCkGHwHfJI0MOB94N3vmSaQExo+yOr5OWjdgBjAR+BfwIPBj4I8RcWj2jCcjYqCkVyJiB0mHAj8HqkcVvApsAtxBSgzsHREjlvn95+cFZ45fVoiZmZnZkqY9RNxfXOel8vJyiouLGThwIAUFBSscY2bWXCRNj4h+dV3ziIHm8yZwEbAvaTj9N0iLA15M6sCvQ5rvvyFQLum17L5xkiAN/98hIt6pVW4lcDRQQBq+X50cWAR0BA4ENict2nc5adrBEiKiCiB7DsB1pNEFdZK0DWlBxDNICY0PgKNyQjYkrWEwBTgZ2DJrb6fseu8splrb2o+odXw/aXrDN4F/A88BE0iLHU4BBtZXVzMzM7OmkJ+fX7PrwMrEmJmtDpwYaCYRsRCYly3uN5I0HWAE0JfUEb4pIu6VtB7wckQMyr1f0uPUPdqgHSkh8APSUPwNgfyIqJRUThpuvxOwF2nBwkXAcSzdGc+t65uS2kj6Bl8v/pfrd6SFD7sD40kd86tJyQJI6wFcQRruvyhr6/4Rcb6k7sCvIqJYUucsfjFQIKkkO/5HredtDvwE+BspufFH0s4Ev83q94f62mJmZmZmZmbL5sRAM5K0H6mTfDNp0cG7IuL8WmGLge/VsaDetrXKOomUVPgHUBIRf8rOfxN4Ngv7BmlHgF2AfqQO9P8i4ogsti3ZWgOSjiN1zvcBiklv9W8ndfBrHktKKPwhIv4t6RPgpIj4EBghaUIW1xU4HXgbuD5r89GSdiWNaHglty3Z/YPq/NKS7bP6bE5KbjwGPExazPBj0hSJV+q72czMzMzMzOrnxEAzkdSN9LZ7KKkz/gvSVoL7AuuR5spfQ+pIv1TPiIG22eeepI7+VqT5+TdnOwG0J3XeO0sak30eRuo0PwT8O+uEI+keoHNEfCXpR6TFArcldegvy+4N4FxJFwPnkbZPrIqIZwAiooyvF068gbSuwQekRMBhEfHP7NoA0raC1SMGzs6aVe+KgJJuIa1VACmxcWJWp5GktRqCNGKgM9BF0tyIuLK+8tq1a0fltIfqu2xmZma2lM3yu7R0FczMmoUXH2xGkjaOiI+XE9MG2DAiPm3iuhQAZdXbAUpqW73WQBM8qz3QPiK+aMQ9yqlb+4hYtLx7lqVfv34xbdq0lSnCzMzMzMxsjeXFB1cTy0sKZDGLgSZNCmTPmVvruEmSAlnZi0hrDTTmnsj5vFJJATMzMzMzM6tfm5augJmZmZm1LqNGjWLAgAGMGzeuwTHl5eXsu+++FBYWctJJJy0RW1ZWxo477tikdTYzW5s5MWBmZmZmzWbixIlUVVUxZcoU5syZw8yZMxsUc+edd3LkkUfy7LPP8vnnn5M7RfD0009nwYIFzdkMM7O1iqcSNFL1fHdJ7QAiojL3GmlxvsU55zoCX+bG1VUmUBle8KHJzHhnNjp4aEtXw8zMrNXYLL8Lc28sWup8SUkJI0aMAGDw4MGUlpbSq1ev5cZ06dKFf//733zyySe89957bLXVVgA89dRTbLDBBhQUFDRxi8zM1l5ODDTebZIuA74DHCtpM2Ad0gr6bYCTJL2Tkwi4Avgz8Dh8vcifJAF/Ao4j7QSwa3ZuMbAb8LOIuDG753BgE+Ba0tZ9BUAP4LvAoogY09hGSPpZdu+1Oef2A3aOiLHZ8VXA5IhY7nL+2a4LP4uI02qdPwa4H9iVtHTAE7Wu9yJtf7hfzrn7gLMj4j855y4BbomIpV8rNEBlZSX0G7Yit5qZmdkKKKtnN6CKigq6du0KQF5eHrNmzWpQzGGHHcajjz7KVVddxbbbbkt+fj4LFy7kwgsv5MEHH2T48OFN1hYzs7WdEwONdw5wCPB7YAZwKDAHeARYEBH/k1QkKQ9YH5gP/FTSWdnnV4CxERGSXgBGRsRFWfzDwL+A06qTApkJwM2kBMQw4C3gCGBYtmVgnSQNBO4BZgLfiojNci5XAQtr3VIFVGY7I1wFfNLApMD62ffxk1rnuwGnALcDLwOPSPpbRHyZE3YWsJGkPwLnAhtk7dxI0hbA3CzJcilwi6RjI+Kz5dXJzMzMVk8dO3asGfY/f/58Fi9e3KCY3/zmN1x33XXk5eXx+9//nltvvZW5c+dy8skn07lz5+ZsgpnZWsdrDDRCNo1gdkRcAuQBh2U/2wAXAJcDRMShwGlAJanzvn9WxM+q38ZnrgKul3QpcDFp5f7dgG9Luqc6KCKqIuIYYGOgCHie1InPl/RtSVvWU+Uq4M8RMQh4V9Jxkn4v6bekBMPBko6s475LgFdq1XVZTgauiIh5tc5fDfwmkjLgLuDubOpE9UiIDYHdgbHZc88ifZ+HkpIt3bLv4FPgQuCXDayTmZmZrYb69u1LaWkpADNmzKB79+4Nivniiy947bXXqKqq4oUXXkASkydP5pprrmHQoEG88sorHH/88c3ZFDOztYZHDDTOeZKGAk9HxFnAOZL2jIhfSfoRsKOk3Uid3K+ArYCHso5wL+AqSeuQ3q5vCowCjgd6k0YEvA/0JE07+DmApFHAz0id5DeAbwJBmk5wGCm58wrwXh31rQIOlLQdsGlE3CJpy4h4T9JJpLUP7pJ0SPaMDUkJj3dJUxuqkwbrAudExOR6vpftI+J3uSck/RIoB56sPhcR/yepK/CcpOOz9nQH3iRNq6gkJRM2Bv4AdM7aUH3/DEmn11MHMzMzWwMMHz6cwsJC5syZw6RJkygqKmLs2LFL7FBQO2bq1Kn07NmTY489lnfeeYedd96Zww47jJ/85OvBioMGDeKmm25qiSaZma3xnBhohIgYK+lxYKiko0kd2Mck/QLoACwA8iNiqKR9gLa1iqiKiEnVB5J6ZPctAjoC65E64R1znnmzpDeBQRFxV869u0TEeTnH15MSDNWeAiaRRgz8VNJUSesBD2dTDHLbNQGYIGlvoD/pzfwUYI9aw/7rs8TCitkUgsHAf4B/SNqYNP2h+vu4mjRl4CXStIEDgAeAukYvLPNZyyLpBOAEANbr0NDbzMzMrAnl5eVRUlJCcXExZ5xxBgUFBfTp02eZMZ06dWKnnXbi9ddfr7fckpKSJq65mdnay4mBFRPAX0jTB3bIOf9KRFycff498Ota9/0R2LqOskQaOZBPemtfQFpscCmSppDWBthAUgnprf/eEXFiHbE/yD2MiAWSrgG+v8zGRSyWdDNpXv8vlhWbqZTUKRvuT0S8A/wwq8NzwHYRcWGWMPh9RNyeXetEmjqRn/0GuIW0sOJd2e/zc9qzPum7apCIuAG4AUD5ed7xwczMbDWRn59fs+vAysSYmdmq4cTAihlOWlhwO2BIRFRm2xc+khPTkaU71evXU167iBgiaRDQD7iNNLQ+V09JdwJfRMSQ6pNZcqA+7fh6KkFXgJydDnrVc08nSTeRRhtsIOn/gF9HxBfLeM5dpLUBaidCII0CuCz7vDk5Ux6yRMJvJe1JWnhxe1Ky5Y9ZeT8gLdhY7VTSQoxmZmZmZma2injxwcbLJw35v2Q5cR9ExKDcH+Cj6ouS2gI7khYpfCk7/S7wArAzcKukdbPzWwL7kDrNXSRNrv5ZTh3a8vXigzfWulbXm/dtSOseTAceBEaTOubTsl0T6hQRfwMWS/rpEg9IWyJWRsQL2alvUmsthGyaQV/grIgoioia7ygiJkTEx1ncKGCj3KkYZmZmZmZmtvI8YqDxtgAOj4jybJTAE5KqpwPkdrZ71PE2f/Ocz6eQFg0sBQ6V9CRpfYH2pNEGXYBvkKYkPAK8FRGzJH1ea8RA6TLqOg34N0BEXJBzz49Jiw3WXrr3YdLCiv/MOXe2pIsjomIZzyEizpa0Q1a+gInA/8jWDZB0HjAUOLrWretlbRyXc64d6bvINT0ibl5WHczMzMzMzKzxFOGp1ytK0joRsbCea+tFxIJl3NsOWBwRS2/e28SyRQgXR8RXTfiMDZaXTGhO7TfZKCp369vS1TAzM2s1Nsvvwtwbi1q6GmZmlpE0PSL61XXNIwZWQn1JgexavUmB7HqDV9df1ZZXt1X0jNUmKQDQp1sPpt1f3NLVMDMzMzMzW+14jQEzMzMzMzOzVsyJATMzMzNbZUaNGsWAAQMYN25cg2PKy8vZd999KSws5KSTTgLg008/ZZ999mHo0KEceOCBLFxY70BNMzNbSZ5KYK3CjHdmo4OHtnQ1zMzM1gr1rR8wceJEqqqqmDJlCmPGjGHmzJn06tVruTGTJk3iyCOP5PDDD+eII45g2rRpvPjii5x66qkMHTqU0aNH8/jjjzNs2LDmaqKZWavixICtNEnfJC1mOEvSIcB3I2KspI2A3SLiz1ncG0BZrdu3BfaMiFebso6VlZXQz/+YMDMzWxXKpj1U5/mSkhJGjBgBwODBgyktLV0qMVBXTJcuXfj3v//NJ598wnvvvcdWW21Fv35fr4/10UcfsemmmzZRa8zMzFMJbFXoCvwlSwR8BVRKagPcAhTkxJVFxKDcH+BxoAJA0m2S7ss+F2XHHSX9WdJzkm6X1C47v2sWd76kI5uxrWZmZlaPiooKunbtCkBeXh5lZbXfB9Qds+uuuzJz5kyuuuoqtt12W/Lz82vin3/+ecrLy+nfv3/zNMLMrBVyYsBWWkQ8DVwB9Mg53QOYGhHX5pzLk1SS+wPsDVTlxGyf/e6T/T4FmBkRuwDrAiOaog1mZma28jp27MiCBWnzo/nz57N48dK7MtcV85vf/IbrrruOc889l2233ZZbb70VgHnz5nHKKadwyy23NF8jzMxaIScGbKVJuhs4ErgUOBc4HLgOGCLpupzQefWMGMi1UFIXYFF2/APgmexzKfD9JmqGmZmZraS+fftSWloKwIwZM+jevXuDYr744gtee+01qqqqeOGFF5DEwoULGTFiBJdccgndunVrzmaYmbU6XmPAVlpEHFHXeUmdgQdzTq3fgOJmAIdkvwE2JJtqAHwB5DW0XpJOAE4AYL0ODb3NzMzMVtDw4cMpLCxkzpw5TJo0iaKiIsaOHbvEDgW1Y6ZOnUrPnj059thjeeedd9h555057LDDuPnmm5k+fTrjx49n/PjxjB49mkMOOaQFW2dmtvZSRLR0HWwNJ+lsYH/S+gK52gGV2cgAJP0X+FetmG8DAyLibUm3Aa8ChwL3kKYTdAJuiYiHJZ1CmqLQGbg5IkolnU+aanD3MuuYnxecOX6F22hmZmY5pj1E3F9c56Xy8nKKi4sZOHAgBQUFKxxjZmarlqTpEdGvrmseMWArLSLGA0v1unNHDEjaGng5In5YK+a2Wre9RFqv4FekxMALwCDgYaAQ+HN2vgdpakEP4NlV1BQzMzNbSfn5+TW7DqxMjJmZNR8nBmylZYsILs5+cuX+/ToBeKCO29sBucNW3gb+A7yTHV8N3ClpCjATuA94Hrhb0k+AD4CnV64FZmZmZmZmrZcTA7bSqqcK1JaNGHgsGy2wJ2lhwupr6wLPZYdzs3KOyY57Z7+rjw+sVfTbwC4rVWkzMzMzMzMDnBiwJhQRnwADACT1j4hFOde+krRTRCy9j1ETaNeuHZXTHmqOR5mZma31Nsvv0tJVMDOzVciJAWsWuUmBnHPNkhQA6NOtB9PqWSTJzMzMzMysNWvT0hUwMzMzMzMzs5bjxICZmZnZGmrUqFEMGDCAcePGNTjm2muvZdCgQQwaNIgddtiBE088sSZ2zJgxPPzww01ebzMzW714KoG1CjPemY0OHtrS1TAzM2u0zfK7MPfGoqXOT5w4kaqqKqZMmcKYMWOYOXMmvXr1Wm7M6NGjGT16NACnnHIKxxxzDADPPvssc+fO5Yc//GHtR5mZ2VrOiQFrMpI6RcSn2efNIqJsGbHfBNaNiNeaoi6VlZXQb1hTFG1mZtakyupZPLekpIQRI0YAMHjwYEpLS5dKDCwr5v3336esrIy+ffuyaNEifvKTn7Dvvvvyl7/8hQMOOKAJW2RmZqsbTyWwBpPUU9IBkg6SdJyk0yVdJWmqpH1rxeYBf5XUXlIH4GlJnXKubynp5zm3/ALYuo5nriPpPElHSfqJpIuyc483UTPNzMzWCBUVFXTt2hWAvLw8ysqWzr8vK+aaa66pGTlwxx138O1vf5szzjiDF198kT/+8Y/N0AIzM1tdODFgjfEjYCDwBfAf4CDgQmBARDwGaZSApKeBPwFVwOPAE0Bb4G5Jf83Keh/YR9KektoDBwOnSSrJfq7N4vJIf0+/BfQEumR1eCN7XltJauJ2m5mZrXY6duzIggULAJg/fz6LFy+92U99MYsXL+bpp59m9913B+Dll1/mhBNOoKCggCOPPJKnn366mVphZmarA08lsMZYBPQG+gKVwDeBIgBJ6wF7RcSnkg4hdegB7gN+nH1uA5RD2qpQ0ijgN0B34LfA7cAnwF5A/+yeAmBD4BTgr8B0YBSwjaQXgU2A3YB3m6LBZmZmq6u+fftSWlpK//79mTFjBr17925wzLPPPssPfvCDmriePXsye/ZsAKZNm0a3bt2apxFmZrZacGKglZE0HfgQWEjqdN8L7A50AqZHxC8kbQpMANoDr0dE9XLF6wA3RMRDWVmTI2JIHY/5NvA9YBvgf8D+2fn2wIvA3wAi4n3g5Gx0wC+A/yMlGjYHHsju+Sor50pSEmADYDAwBNgC6B0RdSYFJJ0AnADAeh0a+hWZmZmtEYYPH05hYSFz5sxh0qRJFBUVMXbs2CV2KKgdM3XqVACeeOIJBg4cWBM3atQojjvuOIqKili0aBH3339/s7fHzMxajiKipetgzUjSG8D3gddIneuxwOSIuFvSraSEwAbAbhHxM0k/Bh7I3vBfCDwLXEWaClCtB/DLiPiLpGOAo4AAtiSNLPggtwrAhRHxN0ntgBsj4tisbhOB6yPiiZz6fgv4FDgPuISUdDgVuAtYF/igOlGxzHbn5wVnjm/MV2VmZrZ6mPYQcX9xnZfKy8spLi5m4MCBFBQUrHCMmZmt/SRNj4h+dV3ziIHWpywi5kt6h7QGwGbAC9m1F0hz+a8HBksqBqZGxH3Z9U2Aj4EPI2KIpKtInfSxpGkGkDrst5NGDJwDHBhZ9klS2yymOhs1Engzu9aRNDLgQNKaBNW+BfwK2JiUaPgGaerAdaRRD2eu7BdiZma2psrPz6/ZdWBlYszMrHXz4oNWwdfz+fsDrwM7A3dGxFBSgmCb7Pq3gPeAdpLaADuRFhV8F/gcICIqSYsE/pE0jeBRSfMkPQo8CnwrG33wDdIw/99lZV9OSiR8ka09QFbeROAZ4M+khQxviIjPgC+BjZe1BaKZmZmZmZktnxMDti5wqKRS4JOIeJL0Fv+3kp4nrUfwTtaRz4+Ij4FC4CLgQdK0gh/w9S4B+5E68cdGxKiI2Bf4J3BAROwdEf/InnsEaWrAVpIeAd7MpgScCewv6UZJm2WxvyEtWng0MERSN9L6CBtJ6tF0X42ZmZmZmdnaz2sMWINIOhRYHygjDe2fEBHXZtf2As4G9ga2J60pcC1psUKA75LWNICUiBgRER9k944E3o+IyTnPEjAG+EsW/1vSooW/B/bJrp1MWgvhJmDviJi3rPq332SjqNyt70p8A2ZmZi1js/wuzL2xqKWrYWZma7hlrTHgxIA1SrYt4aJsykDueUUT/WWS1K76eZLaRkRVY5/br1+/mDZtWlNUz8zMzMzMbLW3rMSApxJYo0TEgtpJgex8k2WYcp+XmxRo6ueamVWbN28excXFfPzxxy1dFTMzM7NVzokBMzNbK40aNYoBAwYssad7Q2PKysrYcccdAfjggw/Yb7/9ePHFF9l999356KOPmrTeZmZmZs3N2xW2MpJ6Am0i4j/N8KwtI+K9VVTWrqStFmeuyP0z3pmNDh66KqpiZquR+uZeT5w4kaqqKqZMmcKYMWOYOXMmvXr1anDM6aefzoIFCwB4/fXXufLKK+nfvz/l5eW89NJL7LXXXk3fODMzM7Nm4sTAWk7S5sDhOae+D3SV9GDOufsj4u2cewqB/hHxO2qRdAYwkrTAYK4ewG8ioiiL2xi4XdJQ4GmgElhI+jt3QUQ8m8V1ACZGxL6SxgO75D4uInbLPi8A7pXUn7RTQnWCYB3gg4hY5r/SKysrod+wZYWY2RqobNpDdZ4vKSmp2bd98ODBlJaWLpUYqC/mqaeeYoMNNqCgoACAIUOGAPDMM8/w4osvcu655zZVc8zMzMxahKcSrP0KgCHANGALYDowNjueBnwP2LrWPdOBXtRtEWn7wcm1fmaTOv/VTiFtMzgC2Av4MCL2JnXq3waQ1BHoBISkTYHxwOCIGAQMBn5YXVhETAdOJyUX3omIftnCGcNqPdfMjIqKCrp27QpAXl4eZWVlDYpZuHAhF154IZdeeukSsRHBhAkTaN++PW3btm36BpiZmZk1IycG1n4fATcDc0hv+g8hJQbGkrYRvBF4R9KWkj6SVAo8CXxbUmn286Wk6n8JC3iduhMDApDUF/gBkA+Myu5blP3ePGd6wYHA/UAf4HrSbgeLASJicUR8lpV3kKQLgHWyxQYX12qjFyA0syV07NixZirA/PnzWby49n826o659NJLOfnkk+ncufMSsZK45pprGDBgAI888kiT19/MzMysOXkqwVouIt6TtDXwEPAi6S3+V8AfgbsiohxA0mbAXyPi0NplSHozZzeAOcC+wK51PK56ue42wAzgMuAwYH2gvaQC4LuSHgGGRcSdktYlJQjOB56RVEEawfBOVs4twLPARsAewCSyBISZWX369u1LaWkp/fv3Z8aMGfTu3btBMddddx1PPfUU11xzDa+88grHH388vXr14hvf+AZHH300n3zyyVJJAzMzM7M1nRMDrUMZsB+pQ/00sAFwaHVSIBPAHtmIgdoKcj5/SBqFcA6pQ98ZuDUruwIgIv4uqQvwaUS8no0g2I80vWBT0poG1a/vhgO9gUuAXSJicbb+wZHAl9VbFUqaCWyT3bOlpJLscwfgk7oaLekE4AQA1utQ33djZmuh4cOHU1hYyJw5c5g0aRJFRUWMHTt2id0HasdMnTqVww//ekmWQYMGcdNNN1FeXs6IESO46aab2G677dhzzz1boklmZmZmTUbeBn7tlq3mvw/wbdIQ/LtJb/aPIK0vsIA0neAF4OyIGFlHGa+Rhvv3Bu4E7sou7URKMpSQEgP/johHJfUmrVMwGXiJ9PZ/F9JaAA8CO0bEZZJ2JiUL1s/KWJzF7AlcDRwbEUdkdRgE7A38P+B9ID8iPm7ozgfKzwvOHN+Ab8zM1ijTHiLuL67zUnl5OcXFxQwcOLBmIcEViTEzMzNbG0ianq3TthSPGFj7CXiDtMjfzsCYnGs9gf7AF8AA4LV6ytgpe5O/JWnNgCtInfhvAO1Jb+3XAV7O4t8CdiAN//8GMJq0M8JvgUtJixEC7A78Gvi/iPiDpKdJayDsCUwFzpY0KCJKsvgfk5IIM4Hukk4HJko6PyIebfQ3Y2Zrtfz8/JpdB1YmxszMzGxt58TAWi7bFvBZSdsBp+V0ssmG4/8nIkLSj0nrD9RVxoLs95PZqSHZ/ccAG0fE5bVu6QtcDPwV6EYaDfAlaXTBYmBb4KOIuFhS+1SUtgP+FREfSlqHNLXhPKBLTplvAfeRdi8YmtV7BPA3SXtGxL9W4CsyMzMzMzNr1ZwYaD3aAX+Q9EnOuR2Ajtkw/fYR8Z9lFZAlAk4APstObUpaVHBIdpwH/DYiHgR2l5QPnEaapjCRlCx4FbhLUkFE3EcacbBuRPwDGC3pVuCLiKgAnsl5/N2ktQzOIa2P8BVARLwl6WTSWgdmZmZmZmbWSF5joJWQ1A5YnLPoX+61TkDHiHh/OWW0qev+FXm2pLY5Ox00ufabbBSVu/VtrseZWTPZLL8Lc28saulqmJmZma32vMaAUb26fz3XPgU+bUAZjU4K1Pfs5kwKAPTp1oNp9SxQZmZmZmZm1pq1aekKmJmZre7mzZtHcXExH3/8cUtXxczMzGyVc2LAzMzWSqNGjWLAgAGMGzeu0TFlZWXsuOOOAHzwwQfst99+vPjii+y+++589NFHTVpvMzMzs+bmxICtFEkbS/pe9rkw211gRcsqkLTLqqudmbVWEydOpKqqiilTpjBnzhxmzpzZqJjTTz+dBQsWAPD6669z5ZVXcvbZZ7PXXnvx0ksvNVs7zMzMzJqD1xiwRpM0AygH1gX2A67JOvSHAbdJ2gSYCbxSTxHfIm15+DZpC8Xzs/NHk7Y1fK6OZ14IPAUMBT4HrgHuB/ZtyHoFM96ZjQ4e2rAGmtkao77FB0tKShgxYgQAgwcPprS0lF69ejUo5qmnnmKDDTagoKAAgCFD0sYrzzzzDC+++CLnnntuUzbJzMzMrNk5MWAr4r2I2F/ShIiYJ+lqYH1gq4h4UdJ6pKTA3hHxpaQRwGMRMV/SgcBBwIKI+FzSlpKOj4ibgMOBLyX9KHtOeUQcKKkjaYvEAaQtEjcDugMVEVElqQ0se3HEyspK6DesKb4LM2tBZdMeqvN8RUUFXbt2BSAvL49Zs2Y1KGbhwoVceOGFPPjggwwfPrwmNiKYMGEC7du3p23btqu+IWZmZmYtyFMJbGWEpN8BPwMeB7aUNB2o3gPzAUlbAb8ETpa0JTCmVhk/AwZJ2hMoBfYF9gZ+ClRkMZ2ALsCvgW2B/wEnAz0lPQP8F6hz2w0za506duxYMxVg/vz5LF68dN6wrphLL72Uk08+mc6dOy8RK4lrrrmGAQMG8MgjjzR5/c3MzMyakxMDtiIKJJUAG5FGChwSEbtGRB/SFINqZ5KG+z8BfAXcDvwpt6CIqIiII4E9gPOBE4BDga2Bu7OwKtIIgSuA94EC4AfA2cCJwL0R8eKqbqSZrbn69u1LaWkpADNmzKB79+4Nipk8eTLXXHMNgwYN4pVXXuH444/nsssu44477gDgk08+WSppYGZmZram81QCWxFzs6kERcBi4BhJ84C2pLf7AETEPyR9DkwDngQuIK1DsEduYZJuAn6aTTvYlDSF4OGckHbZvUeRkgOLgIuBvsBCYHbTNNPM1lTDhw+nsLCQOXPmMGnSJIqKihg7duwSuw/Ujpk6dSqHH354zfVBgwZx0003UV5ezogRI7jpppvYbrvt2HPPPVuiSWZmZmZNxokBWxHdJE0GqiLiUEm/Al4HfhkR35fUAUDSNqSO+xmk0SkfkDr3NSTtAZAlBURaR2Ar4Prc5wHjgF5AH2AH0oiCidn1SXVVUtIJpBEIsF6HlWuxma1R8vLyKCkpobi4mDPOOIOCggL69OmzzJhOnTotcb2kpASA/Px8iouLm6vqZmZmZs3OiQFrFEltgc8iYkg2YgDg28CEOsJ/B/yCNA1gPDAQuJqULEDSBtn5H2bxZ5GmGrSRdEFEnAcQEc9JuhfoT0oCvB4RiyS9BBwAXFhXXSPiBuAGAOXnRV0xZrb2ys/Pr9l1YGVizMzMzNZ2XmPAGms74I3s7X67bOh/t4h4F5CkfsBPSNMK/hAR/ybtUHBSRHwYESOA9llZ+wL3ZOXcDmweEVdFxB+ALpL+LKlHFnsd8FdgLLCdpK2B75CSDN9r+mabmZmZmZmtnTxiwBprL+AB4A7SQoP3AL/JrnUG7gQuJU0zeAYgIsqAMgBJN5CmBnwQEbOyc/sDkyKiZjPyiPippMOADSXlA9eS1hLoTxqhcCtwelbu/ZIOj4g3m7DdZmZmZmZmayVFeIS1NVw2UgCgXTacv2d1B7+Jn9suIipz6tAmIqqqj2M5f5GVnxecOb6pq2lmzW3aQ8T9nv9vZmZmtjySpkdEndu8e8SANUpOB3xRdtzkSYHsOZW16lBVR53q1a5dOyqnPdREtTOzlrJZfpeWroKZmZnZGs+JAWsV+nTrwTS/VTQzMzMzM1uKFx80MzMzMzMza8WcGDAzs9XKqFGjGDBgAOPGjWt0TFlZGTvuuGOjyjIzMzNr7TyVoBWStEVE/Leea+2ByobM21/VJBUA20TEc6u67BnvzEYHD13VxZrZCtosvwtzbyxa6vzEiROpqqpiypQpjBkzhpkzZ9KrV68Gx5x++uksWLCgwWWZmZmZmRMDaw1J44ApEfFYrfO9Sdv6nQB0IS3a91dJ/bOQL4CFwJ+A47LYXbOV/xcDuwE/i4gbc8o7LyIOz457AudHxJGS2pDWAgxJhwObkLYZ3B4oAHoA3wUWRcQYSRsCp0XE+Vldjga+BJZKDEi6EHgKGAp8DlwD3A/sW707wbJUVlZCv2HLCzOzZlJWz2KgJSUljBgxAoDBgwdTWlq6VGe+vpinnnqKDTbYgIKCggaXZWZmZmZODKzRsmTA94EAegJ7S/oZsC5wFTAJqCR1/POA32efnwVuAj4FrouIFyW9AIyMiIsk5QEPA/8iddxvzHlsRVZGtUpgsKTJpKkpJwCzgAnAzcA6wDDgLeAIYFhElAFExOeStpR0fETcBBwOfCnpR1nZ5RFxoKSOwGfAAGBTYDOgO1AREVVZQoKIWLxy36iZtbSKigq6du0KQF5eHrNmLb3xSV0xCxcu5MILL+TBBx9k+PDhDS7LzMzMzJwYWKNFxNjqz5LOB6ZGxOM5544iddS7AW8AZwEXR8Qxkh4EfhsR/8rCrwJC0qVAR9J2hLsBiyTdExGHSRoK7AX0yUYE7Au8TkpAvEaaBjArq1sVcIyk7kARafTBT4B8SV2AzyPiPeBnwPWS3gVKgXNJoxh6ZvUF6EQa7fBT4BVgCnAy0FPSM1nscODFlfk+zazldezYsWYqwPz581m8eOl8X10xl156KSeffDKdO3duVFlmZmZm5sUH11iS2la/Ka/n+jrA3cBRwEPAPcDxwNaSzgJ2BH4k6TuSjgaeJnWwewOPA38lDel/HNgYICKKgT8A/yGNChgM7EFKPOwP7Jw9e5SkGZLGA7sChwKHkaYTHJb97JSVWRERR2blnE9KZBwKbJ3VH9L0h+7AFcD7WTk/AM4GTgTujQgnBczWAn379qW0tBSAGTNm0L179wbFTJ48mWuuuYZBgwbxyiuvcPzxxzeoLDMzMzPziIE12b7ATyUFkE/qaC/I3qADtAdOAnYA9gb+DtwCzCNNBfgBIOCLiHhdUg+gA2mkQEdgPdKUhI7VD5S0O+kN/7bZ+Q+B3KW+zwWIiJslvQkMioi7cu7fJSLOq90QSTcBP42ILyVtSppC8HBOSDvgAlKS44qsjhcDfbO2zK7rC5J0AinRAOt1qCvEzFYzw4cPp7CwkDlz5jBp0iSKiooYO3bsErsK1I6ZOnUqhx9+eM31QYMGcdNNN/HZZ58tFWdmZmZmS1MLLD5vq5CkdsCfSUP1OwF3RsTN2bUTgYFAOfAIaWHBnUhD7r9Fmvf/WERcnE1FuB84j5RoyAc2BN4FNomIPtnCgxsDP8mmI4wiJRdOJa1f8FlE3Js9exApMXC+pCmkDvwGpDUKvoyIvbO4PYDDIuL4bMHD54H/RsTBOW3chZSA6EWaSrADaUTBRGA6MCkiXljm95SfF5w5vlHfrZk1oWkPEfcX13mpvLyc4uJiBg4cWLOQ4IrENCbOzMzMbG0naXpE9KvrmkcMrMGyRfnuInXotyaNCjhBUj5wZURcL+kJ4PSIeFzS56Q37ccDl+d2vnO0i4ghWce+H3AbaccCIuLfkiqyZ/8B2C67ZzPS8H9JWj8ibsvO95R0J2lUwpCcepdkvzcAxgM/zC6dlT2rjaQLqkcXRMRzku4F+pPWM3g9IhZJegk4ALhwRb4/M1s95efn1+wmsDIxjYkzMzMza82cGFhDSdoZuA4YFxH3ZW/8q4ARwKXAG5KOIw33D6jpYN8DvAq8KGnbiPiXpLakNQe6AS9lj3g3K29n4FZJ65JGEOxO2ongLOCrbGvCyVkyoQ1pCgPAlsA+pCkL92W7FtS2L2ntg3aSbieNODgla9/Vkv5M2hVhdtbWCmAs8I6krYHvkEYifA+YtlJfqJmZmZmZWSvlxMCa62XS1n/vZMcdSW/7vwJ+KekKYAFpaP5FkvqREgbvAN8mveW/OdvesJA0RL8UOFTSk6T1Bdpn5XYBvgE8SHq7f1VEfJlTl05Qs13gV9m5R4C3ImKWpM9rjRgozeLvy473J00HKKqOiYifSjoM2DAbAXEtaS2B/ln9byVNjSgD7pd0eES8uaJfppmZmZmZWWvlNQbWcpLaRkRVNiogss579TVlb/zbAYtzr61uJLWLiMrss4A22ZaINe1Y1v3tN9koKnfr2ww1NbOG2Cy/C3NvLFp+oJmZmZmtEl5joBWr7jxX/651rXqKQWVz16uxcuuY1buq1vEy9enWg2n1LHRmZmZmZmbWmrVp6QqYmZmZmZmZWctxYsDMWpVRo0YxYMAAxo0b1+CYTz/9lH322YehQ4dy4IEHsnDhwjrPmZmZmZmtiTyVwFqFGe/MRgcPbelqWDOpb/76xIkTqaqqYsqUKYwZM4aZM2fSq1ev5cYUFxdz6qmnMnToUEaPHs3jjz/Of//736XODRs2rLmaaGZmZma2yjgx0MwktQcqGzIvfhU9bzPgOxHx1CoutwOwqK61C6qfGxFlufG1djJoVpWVldDPnbbWomzaQ3WeLykpqdnTfvDgwZSWli6VGKgrZsyYMTXXP/roIzbddNMlkgDV58zMzMzM1kSeStAMlNwjaT3gLOBxSU9KelzSAkk/yeIOl/RzSetI6idpf0k/k3SjpP+XU95ZkrrWekaepOk5x30kPUPa1vD7knaT9LakkuznE0nfqKOu51TXZzluIW1dWFd7OwFPSFon5/Qzkg6Q9P167qnzuZI2ltRf0u7Z99VV0vcl7SdppKRLJXVsQH3NqKiooGvX9D+dvLw8ysrKGhXz/PPPU15eTv/+/Zd5zszMzMxsTeIRA80g2xLwBWBkRFwkKQ94GPgXcFpE3JiFTgBuBtYBhgFvAUcAw3LfvgMzgFslnQrskJ1rA3SSdCzwZETMAAZKeiQiLpO0E3BbRJwPIKkEqGs3goXZzxIk/RD4IzAr5/RPJf00+/yNrPzfAacAs4FrJXWPiD2Az4C/Aldk22TU3hqxzucCPYGDgd5ZfX8CvAacAJwLlAKL6rjPbCkdO3ZkwYIFAMyfP5/Fi5feobO+mHnz5nHKKafwwAMP1MTWdc7MzMzMbE3jxEDzuQoISZcCHUmd2d2ARZLuiYjDsmH5x0jqDhQBi0kd4XxJXYDPI+K9iJgk6RWgA/BhFkdWZhnwlaRvAvsBW0s6DXgFOFTSDlnsdkBbAElvAO9n57cCFko6Kit/fkTsDXwC/BaYDJwHjAYqgGuBR4H5QEdJvYHdgReBmUBvSc8B387i2pP+3i1s4HMrgQCuB35BGgExFfhhRLzQyD8Da+X69u1LaWkp/fv3Z8aMGfTu3btBMQsXLmTEiBFccskldOvWDaDOc2ZmZmZmayInBpqBpKOBUcDxpDffN5M6xD2Bx4GfSxoF/Ax4BHgD+CapQ1wAHEYaEfBK1rE/A3gjIk6QdDNwQER8LunTiHgse2ZbUse8E2mEQSnQr1bVKrLfiyJiSHbf6cDciLgrS1BcncVMI3X4rwLOBEYAfwOmAwOBXUlTC75LSmo8CzwB7A9UAS8BFwNPR0T1yICGPBdSouCHwB7A68CXwJ6SniYlWa6IiKVWmpN0AmlkAazXofZla4WGDx9OYWEhc+bMYdKkSRQVFTF27NgldiioHTN16lRuvvlmpk+fzvjx4xk/fjyjR49m3rx5S5075JBDWrB1ZmZmZmYrxomBZhARd0jqQergLiJ1ZtcD1s0+ExE3S3oTGBQRd1XfK2mXiDgv57gt6c37lOzUdOAooGYNgqy8Mkmbkt649wU2A44jDfn/FPiK9Ob/b3w94mBZvgKeBi7KpkacndVhEWkKwFCgIiL+KmkucCfwl4h4TdKdpOkAvwKeySmzIc+FlMCYmf1eDLxKmopxCfDTupIC2XdwA3ADgPLzmmWxR1u95eXlUVJSQnFxMWeccQYFBQX06dNnmTGdOnVi9OjRjB49eqny6jpnZmZmZramcWKgeQUg0siBfGBD0oiATWoHSppC6nBvkK0H8GVE7F29C4Ck6tDrgLw67u9CGqUwK3vWM6TO+7lACTAl5819O0mTs8/VQ/qPISUyPsvODwdOI019ABhAeoP/WnZ9EnCbpJuAwcAHwBmSxpJ2YXgkW5TwKUnHRsS/GvhcgM2BnYHnSVMZfsnXox3MGiU/P79m14GViTEzMzMzW1s4MdD82kXEEEmDSEP7bwP+lHO9Z/aG/YvqYfZQs1jgUiLiTUltsh0Gvsq5NJI0iuAw4GzSHP+nga7AvsDnkvaPiAXAcRHxYvac3CH9HUhTGoiIicDELGY/0toHi0kLDtbsDSdpQ9L0hYNIoyE+BS6Q1I7Use/A1+sKLPe5mf8B55NGCDxBGgWx9ORwMzMzMzMzazQnBppBNvx/R6Abaa49wLukufc7k3YYWBfYEtgH+AFwX87b9NrlHQcUSNoHKCZ1km8HrsgJ+yOpA31UNsrgNWA3SecDJRFRUh1Y3TnPtCGNaiAiviQN269+rkiJhtNIuyZ8CjwoaWfg8oj4H2kRwqHAA8CppDUJhpCmMDwMHAPc0YjntgX2JK1dACm5UQ6Mr443MzMzMzOzFefEQPM4hbQrQClpZ4AnSesLtCe9Ve9C6jjfCrwVEbMkfV5rxEBp9vtHpC0KtwVOBy4jdZADOFfSxcB5EXFHFr9+9ruY1PneEthPUgUwNSLOqlXXjqTtEpcgaVvgz1kb9sySAEjaC/gp8Kyks4CPgb9GxBuSbgS+RVps8ZyIeEXSvcD2pLURlvvcbOeB7+TUIx+4IyJekPRdYIPa99SlXbt2VE57aPmBtlbYLL9LS1fBzMzMzGyNoQivydbUsmH0iyOioYvtLa+8ttVrDTQnSZ0j4pNlXG+zqtq4nHooGvkXt1+/fjFt2rSmqpKZmZmZmdlqTdL0iKi9Ux3gEQPNIiIqV3F5zZ4UyJ77yXKuN3lSIHuOs1lmZmZmZmarSJuWroCZ2YoYNWoUAwYMYNy4cY2KKSsro7CwsOb4pZdeYsiQIQwYMIArrriirmLMzMzMzNZqHjFgrcKMd2ajg4e2dDWskTbL78LcG4uWOj9x4kSqqqqYMmUKY8aMYebMmfTq1Wu5MRtvvDEjR46kouLr3S5POeUUioqK2GKLLdhll1340Y9+xNZbb93kbTMzMzMzW104MWAtTtLGwFYR8dJyg5e8bwugLCIWLS+2srIS+g1b0SpaCymrZ8HIkpISRowYAcDgwYMpLS1dKjFQV8xBBx3EhAkTOOCAA2ri5s2bx5ZbbglAly5d+Oyzz5qiKWZmZmZmqy1PJbDVQS9gFICk9tnvKbkBkvaTdE72OV/STqQtGfObua62GqioqKBr164A5OXlUVZW1qCYvLw8OnXqtETcLrvswtVXX82f/vQn3n77bbbffvumb4CZmZmZ2WrEiQFbHSwibbcI8IikdYAvJLWX9ANJbYCzgO9LugvYHziBlBT4rqTdWqTW1mI6duzIggULAJg/fz6LFy+97mVDYgCuv/56tt12W66++mrOPPNMJDVdxc3MzMzMVkNODFiLknQQcD1woKSLSEmCw4HvAhOyn2OBiRExDBgJ7A68AeSRRhv0bIGqWwvq27cvpaWlAMyYMYPu3buvUAxA27Zt6d27NwBHHHFEk9TXzMzMzGx15jUGrKU9CLxL6vDPB3YDngZmRcSPJJUAfwdukXQc8ADwv4i4QtIQ4Mb6tm+UdAJpZAGs16GJm2HNafjw4RQWFjJnzhwmTZpEUVERY8eOXWL3gdoxU6dOrbe8sWPHctlll3m0gJmZmZm1SvKW8NbSJPUDjgEuBG6NiP0kTY6IIVliYDBplMD3gP8DLs5uHQHcC7TN7nu13mfk5wVnjm+6RljTmPYQcX9xnZfKy8spLi5m4MCBFBQUrHCMmZmZmVlrIGl6RPSr65pHDNhqIyI+lFSTqZJ0DGkdgZ2Ay4ANgW7ATaRkwMnAR8D9wIfNXV9rWfn5+TW7DqxMjJmZmZlZa+c1Bmx1sA7QR9JlOefWJU0xODAipgKnAzeSpg68QlqD4CbgIOD9iPi8eatsZmZmZma2dnBiwFqUpH2B8aRFBv8PqJK0FXB8RDwFbC/pclKi4DDgN5J2BMYAZwO3AzdKatsiDTAzMzMzM1vDeSqBtaiIeAx4rPo4247w9vRRAF8AZwJdgT8DTwHXAgdHxGfANZK+Q0oa3FXfc9q1a0fltIeaqhnWRDbL79LSVTAzMzMzW+t58UFb40haJyIWNuaefv36xbRp05qqSmZmZmZmZqu1ZS0+6KkEtsZpbFLAzMzMzMzM6ufEgJmt9kaNGsWAAQMYN25co2LKysooLCysOZ49ezZ77LEHO++8MxdddFGT1tnMzMzMbE3hxICZrdYmTpxIVVUVU6ZMYc6cOcycObNBMeXl5YwcOZKKioqauKuvvpqLLrqI559/nieeeIKPPvqoOZtiZmZmZrZa8uKD1irMeGc2OnhoS1fDlmGz/C7MvbFoqfMlJSWMGDECgMGDB1NaWkqvXr2WG3PQQQcxYcIEDjjggJq4Ll268MYbb7DNNtuwcOFCOnfu3HQNMjMzMzNbQzgxYCss2zbwfxHx7grePxi4GXgT6AJ0AmYDHbJyD6jjnp7AmIg4tTHPqqyshH7DVqSa1kzK6tk1oqKigq5duwKQl5fHrFmzGhSTl5e3VNzee+/NVVddxezZs9l9991p187/CTQzMzMz81QCazRJm0l6GfgI+Emta+0kvSupJPv5bnb+15KmSHpCUvUedJXA3RExBPg1cEf2+UigvgUG3wS6SGrbFG2z1U/Hjh1ZsGABAPPnz2fx4sUrFANwwQUXcNtttzF+/HgWLFhAcXFx01XczMzMzGwN4cSArYjLgfUi4r/AN2p10rcH7omIQdnPa9lb/hHArsAE4KQsNoCjJJUAvwWOyT4XAVW5D5RULqkUeBbYBvibpFJJn0rapslaai2ub9++lJaWAjBjxgy6d+++QjEAc+bM4b333uPLL7/kpZdeQlJTVdvMzMzMbI3hcbTWKNnw/wpgbnbqcWAf4JHsuD9woKRdgHeAkcAg4NmIWCzpftK0AUiJgTsjYqykvYH+EXG+pO7ApbUe/UpE7F5HfUqof3SBrQWGDx9OYWEhc+bMYdKkSRQVFTF27Ngldh+oHTN16tQ6y7rgggsYNGgQH330Efvvvz+DBw9urmaYmZmZma22FBEtXQdbQ0haB3gSGA48GBGDsnN/jIgTs5jvA/+NiA8kXQM8AXwH2AD4G3AeUBoRZ0kaBAypLzEQEYfmPLsMWHo5evgu8J1s9ELt+p4AnADAeh36cu5vV8G3YE1m2kPE/XUP7S8vL6e4uJiBAwdSUFCwwjFmZmZmZq2VpOkR0a+uax4xYI1xFnBNRHxSPQQ7IhZK+kTSphHxIfBqRHyVxf8L6AV8ChRERLGk94DTs+sbAIdJ6k+2+KCkXUmLD9Z09CWtC/wrInarXSFJjwDt66psRNwA3ACg/DxnwNZg+fn5NbsOrEyMmZmZmZktzWsMWGMMAU7Ohu/vIOmm7PwdwNHZ5zsl9cnWHTgQmAFMAQZLag/0ySnv28B59Sw+mGsH4LV66nQw8PbKNMrMzMzMzKw184gBa7CIGFj9WVJJRByfnX9dUvUogAuBPwECHoqIyVn8vaQEQRlfr08wBDixusjsB9Lfy9zFB0cAD9ZTpy9XrlVmZmZmZmatmxMDtkIiYlCtU1MkDYiIKaSdCWrHXwRcVH2c7SRQFRFvZ6cWAJ9IWg+4j2zxQUl9gUK+nn5gZmZmZmZmq5AXH7QWI2mdiFjmjgKSOgCbR8TslXlW+002isrd+q5MEdbENsvvwtwbi1q6GmZmZmZmayUvPmirpeUlBbKYL4GVSgoA9OnWg2n1rHhvZmZmZmbWmnnxQTMzMzMzM7NWzIkBM1vtjBo1igEDBjBu3LhGxZSVlVFYWFhzPHv2bPbYYw923nlnLrroorqKMTMzMzNr9TyVYBXJtuKrjGZatEHSZsB3IuKp5nheHc9XQ9uarROwMdAN2C4irpckoG1EVNZzTxuAiFi8Kuo7453Z6OChq6IoW0XqW1Ng4sSJVFVVMWXKFMaMGcPMmTPp1avXcmM23nhjRo4cSUVFRU3c1VdfzUUXXcSAAQPYddddOemkk9hkk02avG1mZmZmZmsSJwZWQta5/RNwHGnV/F2zc4uB3YCfRcSNkg4HNgGuJa3YXwD0AL4LLIqIMVl5ZwF3RsT7Oc/IA56OiL7ZcR/gj0BP4P8kVQG3A29nt+wAfCsiPqhV13OAuRFx4ypq/pOSjoqIubknJW0B3JUdzgJuzer3OjAPeF/SRsD6wH2Svspi25G+m5ey47aknQkezcp9IjtX27ER8d7yKltZWQn9hjWiedbUyqY9VOf5kpISRowYAcDgwYMpLS1dKjFQV8xBBx3EhAkTOOCAA2riunTpwhtvvME222zDwoUL6dy5c9M0xszMzMxsDebEwEqIiJD0AjAyIi7KOvEPA/8CTsvphE8AbgbWAYYBbwFHAMMioiynyBnArZJOJXXwIU336CTpWODJiJgBDJT0SERcJmkn4LaIOB9AUglQ11v4hdnPCpHUlrSLRXXZNwDfAuZm19sAInXe346IYyS9SEqS3FVdvxzzgJ1zyj8deDQiLqmnCutGxKAs8bAwIj6UdBN1JwtsDVZRUUHXrl0ByMvLY9asWQ2KycvLWypu77335qqrrmL27NnsvvvutGvn/+SZmZmZmdXmfyWvvKuAkHQp0BFYRBotsEjSPRFxWERUAcdI6g4UkTrLPwHyJXUBPo+I9yJikqRXgA7Ah1kcWZllwFeSvgnsB2wt6TTgFeBQSTtksduRdZYlvQFUjz7YClgo6ais/PkRsXcj2jkUOFfSYtKb/VezZ1RfbwOcB7yRc89iGtBxl9Qtu3d3Sd0i4p1lhB8FfAysqpEPtprp2LEjCxYsAGD+/PksXrz0bJKGxABccMEF/OUvf0ESP/vZzyguLmbPPfdsusqbmZmZma2BnBhYCZKOBkYBxwO9SaMC3icN838c+LmkUcDPgEdIneZvAkGaTnAYqUP9StaxPwN4IyJOkHQzcEBEfC7p04h4LHtmW2Am0Ik0wqAUqL0XZfUk60URMSS773TSVIK7sgTF1TnlkSUv6mpj23Q5Hs/ahKQpEbFrPfFb1Dq1DnCYpH6kEQazSCMDrsri84C7gb9n38Wdkq6IiL/UVT6wLrCsxIGt4fr27UtpaSn9+/dnxowZ9O7de4ViAObMmcN7773HpptuyksvvcQPf/jDpq6+mZmZmdkax4mBlRARd0jqQXoDv4g0YmA9Uue1YxZzs6Q3gUERUT33Hkm7RMR5OcdtSfPpp2SnppPejv+/Ws8sk7QpabpAX2Az0hoH3wA+Bb4ivX3/G1+POFiW3wC/llTfNIN1gJ+z5Bv67pJKc463IE2LeLWO+zcEbsmmPUyOiL2qL0jaBHgAGE8aBbEY+BHwlKRF1cmQWjYHNpG03L+7kk4ATgBgvQ7LC7fVxPDhwyksLGTOnDlMmjSJoqIixo4du8TuA7Vjpk6dWmdZF1xwAYMGDeKjjz5i//33Z/Dgwc3VDDMzMzOzNYYTA6tGkObXHw/kkzrDBaQFB5cgaQpprv8G2XoAX0bE3tVv7HOG5l8HLDVpOpt6MIr05j0feIZsmD9QAkyJiOpOfjtJk7PP1VMJjiElMj4DiIiLgAbv4yZpc+CliNg/59wjpKkP1fbMeW7PWteq79mWNK3i1Ih4StJ+WX0+ljQcmCypX0TMy26pTnLsQBqd8QBp5ES9yY+IuIG0FgLKz2uW3SJs5eXl5VFSUkJxcTFnnHEGBQUF9OnTZ5kxnTp1qrlWUlJS83m//fZjv/32a66qm5mZmZmtkZwYWHXaRcQQSYNIQ/tvI+1YUK2npDuBL6qH90PNYoFLiYg3JbWR9A3SKIBqI0mjCA4Dzga+DTwNdAX2BT6XtH9ELACOi4gXs+fkTiXoQJrSsCJOBB6sda4LX3f+RRohMDZbMHE0cHQd5cwkTZVYalpARMyWtENEfJZzbrCkkcALQC/S1pCXSVpPUptVta2hrR7y8/Nrdh1YmRgzMzMzM1s+JwZWQjb8f0egG19vs/cuUEVacf9WSesCWwL7AD8gbdE3uY7ikHQcUCBpH6CY9Gb8duCKnLA/kqYRHJWNMngN2E3S+UBJRJRUB1YnBTLVuwYQEV+SLR7YyPbunLVjl5xzeUCH6o55tnXg2OxyOWmRw3/VLiure25SoKZ+2fWapEA2SuJU0qKOe5FGC7QlfQ/DSIshnt3Y9piZmZmZmZkTAyvrFNKuAKWknQGeJK0v0J60xkAX0tz/W4G3ImKWpM9rjRgozX7/iDRMflvgdOAyUkc5SLsBXAycFxF3ZPHrZ7+LSZ3qLYH9JFUAUyPirFp17UhaL2CFZDsH/Ja0lsCi7Nz/AwaQLWRYK17Z93Nizul1Ja0bEV/Vjid9b0v9fZTUH/gz8Htg94hYJGkG8Kykz0hJmUNXtF1mZmZmZmatnSI89XpFZQvgLV5Vw9glta1vd4DVgaR2EVHZAs/tkI1yWGHtN9koKnfru6qqZKvAZvldmHtjUUtXw8zMzMysVZA0PSJq72gHeMTASlnVneTVOSkAq769jXjuSiUFAPp068G0+4tXRXXMzMzMzMzWKm1augJmZmZmZmZm1nKcGDCzZjVq1CgGDBjAuHHjGhVTVlZGYWHhUrHDhg3j5ZdfbpK6mpmZmZm1Bp5KYM1CUveIeLuBsetExMJlXO8CfNKYqRcz3pmNDh7a0HBbSfWtHzBx4kSqqqqYMmUKY8aMYebMmfTq1Wu5MRtvvDEjR46koqJiidi7776bHj16sOOOOzZpe8zMzMzM1mZODFhzmSZpk6hntUtJ5wDXkrZ03BP4+TLK+i3wGGnbwgaprKyEfsMaUV1bGWXTHqrzfElJCSNGjABg8ODBlJaWLpUYqCvmoIMOYsKECRxwwAE1cfPmzeO0005j9OjRPP300+y+++5N1BozMzMzs7WbpxJYcylbRlKgOzAoIj4GHgcKJW2Uc72HpLclTZY0GegF/LL6WNJ7kjZtjkbYyqmoqKBr164A5OXlUVZW1qCYvLw8OnXqtETclVdeyY9//GNOPPFE7rjjDh56qO5khJmZmZmZLZtHDFiTkXQEcCKwEOgmqRToAMyJiNzX91cBZ0HamUHSRcCVwMjsehVQQhpR8FWtx7QBfgGski0jrWl17NiRBQsWADB//nwWL176j60hMQAvv/wyl19+OQUFBYwYMYLi4mKGDfOoEDMzMzOzxvKIAWtKJaRpASOA6RGxKzAa+FRSNwBJpwOzIuLvkg6XtEFE/BmolDQWICLeiYhjgO6khMGPs89HAUMj4uhstIGt5vr27UtpaSkAM2bMoHv37isUA9CzZ09mz54NwLRp0+jWrVuT1NnMzMzMbG3nEQPWlG4hjQb4GHgzO7cRsA7woKTTgB8CQyVtCfwSmJDFjQaKJO0SEc9JagucDvQA2gKDgI5AnqQJdS1sKOkE4AQA1uvQFO2zRho+fDiFhYXMmTOHSZMmUVRUxNixY5fYfaB2zNSpU+ss64wzzuD4449n/PjxrL/++kycOLG5mmFmZmZmtlZRPdO+zVaKpAHAxRExSNK5wH8j4hZJhwK9SW/8HwKejIgKSdcC90bE05IOBB6qveuApJ2A/wFHA29GxB2SfgB8GhH/WmZ98vOCM8ev8nZaPaY9RNxfXOel8vJyiouLGThwIAUFBSscY2ZmZmZmDSdpekT0q+uaRwxYU5kNnJhtLTgC2CU7nw98AlwN9MiSAtsDm0TE01nMdsDWwO+rC8sSDRcBC0ijBr6SNIK0ZsG5Td8cW1Xy8/Nrdh1YmRgzMzMzM1s1nBiwJhERcyV1AB4Fzo6ITyUJ+B7wWERMB6ZL6gH8GXhW0g3AZoCAHSTdFxHvZdMI/h4Re0DNugRzI+Ku7Li9pLa1RxiYmZmZmZnZ8jkxYE1C0jeBScBJEVGcbT/4PFAKPJYT+ilwO/AS8B/grYhYJOlHwEDgbmB34AxJC2s949Ds4zrAJcDTmJmZmZmZWaN4jQFrMpLaR8Silq4HQPtNNorK3fq2dDVajc3yuzD3xqKWroaZmZmZmWW8xoC1iNUlKQDQp1sPptWzGJ6ZmZmZmVlr1qalK2BmZmZmZmZmLceJATNrVqNGjWLAgAGMGzeuUTFlZWUUFhYuFTts2DBefvnlJqmrmZmZmVlr4KkE1irMeGc2OnhoS1ej1ahvjYGJEydSVVXFlClTGDNmDDNnzqRXr17Ljdl4440ZOXIkFRUVS8Tefffd9OjRgx133LFJ22NmZmZmtjZzYmA1IaldRFSuorI6RcSn2efOwJcR8WUjy8iPiPJVUZ/VQWVlJfQb1tLVaDXKpj1U5/mSkhJGjBgBwODBgyktLV0qMVBXzEEHHcSECRM44IADauLmzZvHaaedxujRo3n66afZfffdm6g1ZmZmZmZrN08lWMUk9ZBUJqmknp/Z9dx6uaQ96iivjaQ7JfWTtIukd3LKmirpyizuO5L+JGkDYEy23R/AGOCw5dS5vaTrJRVIWleSgP8nqU92fZ3sHFkd3q6jXR818PvZQdLYhsTWqt9NWdtsDVZRUUHXrl0ByMvLo6ysrEExeXl5dOrUaYm4K6+8kh//+MeceOKJ3HHHHTz0UN3JCDMzMzMzW7ZWN2Ig6+D+H/A94EPgX8CBwEfAIuAo4GKgD/Al8F/gcGBj4DZgQ+CZiDirnkdUAcXASGBxZPtBSqpOwpRkx12AB3Lu2wbYVdL87HhmRPwkIhZLuiUr7/Z6nkdEvC7pUeBHwFzgG5IKgb2AryQdBtwZEXfWLiAiFkl6DPgZ8F0gHygALsvyAW2z588BFi6j3cskaTPg18Ax2XEJcCSwmPSdDQWeA94B1gH+EhGXZfX7A/BH4LjlPcdWXx07dmTBggUAzJ8/n8WLF69QDMDLL7/M5ZdfTkFBASNGjKC4uJhhwzwqxMzMzMyssVpdYgDYA+geEbtKupD0Nv2CiLhL0pHAKVncKRFRKulWYAiwG3BzRNwr6XFJBRExt47yqzvIxwIHSdoWmE1KOlxG6gTXiIhBAJImAKdFxH+z4f+PZud3Bsoj4hRJvYG/kDrokDrP72Vxm5MSDdsANwNnAd8hJRiOX9YXImkH4J2I+EuWOLkeOI/UQR8aEdfmhH8G/ClrU64dlvWMzK+BX0XEgpxzbYE7gF9GxBxJVRExKKvHa5KujoiKiPiHpFckDYqIkgY8y1ZDffv2pbS0lP79+zNjxgx69+69QjEAPXv2ZPbs2Wy77bZMmzaNbt26NXX1zczMzMzWSq0xMTCI7K096Q10Qc61fKCm05p1TjuS3pK/Dxwp6bmI2LsBz7k1+/k/4PLs/kpShxty3rBnowl+AGxFGqEAKZEA8DZQJOkQUgf6S9IogC+ymDxJLwJbAr8CRmXP6Qx0AColPQLsDmwfEW/WUdevgD9nQ/z3In1HWwEVwFaSiIhrJZ2ZXfsM6FGrjDaSngTOjIj6lojvEhHv1jp3DvBKRDxZ63wHoD1LjkS4FziVr//8lknSCcAJAKzXoSG3WBMbPnw4hYWFzJkzh0mTJlFUVMTYsWOX2H2gdszUqVPrLOuMM87g+OOPZ/z48ay//vpMnDixuZphZmZmZrZWaY2JgU2AtyUdBZwM9AQKs07ke6Q5+f9HShpsBDwMPJX9VAJPS7otIi6W9Bcgd+Lzn4DHss9DgNOA3qTh+VVkQ+jrcBLwDHCxpBtyyiAiPpC0L2kqwyfZtaFZXT8DvpXC4nFJU4H5pI7+dsAHEXGSpF8BT0bEm3XVOSJukNSflGh4G7gAeD8iQlL77JiIuEzSS6RpBa+QpmN8kP3sBwyLiM/r++Kz76+2gSw5+qBtNsVgG2BCrUUTPwUavM5ARNwA3ACg/Lxo6H3WdPLy8igpKaG4uJgzzjiDgoIC+vTps8yY3LUFSkpKaj5vvvnmPPbYY5iZmZmZ2cppjYmBT4ENI+KmbMG8R4BfRMRd1QHZvPpTgF2Br7IO8ndJQ/RvAx7PRg4cULtwSVsARMQTwBOSria96T80It7Nys6NPww4MXvWYtIUgtqTqo8ljRQ4C7gqa8OWpLfqJ+aMAjiDlNT4grR2wtaSJgPfBN6UtKCuOldXBfhF1sbLgcWSzgWuiIiDcuLWAXYGtiCNKvg0+/kusLzOdwdJbSMidxTAAcD1kgoj4lmgeirBOkBpznlIiYj/LOcZtprLz8+v2XVgZWLMzMzMzGzVaI27EjxHGi4PaYHBZbkeGCWpLTAW2DmbH/8fUqe8XpKuzhb0+x5wIfBtSSfXEfoB2Zv2iKggvXl/MqecTsARwO3ZEP07gH+SFiJ8rdbUgIGkUQ7vZ8cfRcSQrLyfRMSNy6jyyUAZ6Y18OSkBUElaAyDXnKwODwKvk0Y6PAjcxPITA5OA2usdfE6aTjA+92RELCRNZdgQaqZ1nAoULecZZmZmZmZm1gitccTAQ8Dekp4nvVmvV0SUS3oKOAi4CLhBUiVp6HtxPbe1ze79aV0Xs7UCcp9RUuu4QtK6OafOAe7JVubfJHv28aRkwanZooNzge8D07K6Pgasz9cd9SWHKSxdp82Ag7MyTgKmkN7kV1/fFugUES8Ae5MWcFxMGjGwBSnB0pY0aqDuCeGpbXdIukXSRxExMef83yR9KWkfvp5KsCHwb6A4W4PhWtLUgqX3tzMzMzMzM7MVpmw3PVtFJPUAngfeqCdkq4jokXXo/1S9K0HO/TsBE4C7I2KspE1JawmsD9wJPE2azrCAtM3i3sAVwJ7AW6StFU8B/gCcTlqPYDSwW0R8Vk+d9yGtYfA/0gKGewH3kKYWPEoaWXIaKZH0C9IaBrDkVAJICzUeGRHVCyjW9aw2wHci4rX6Yuq5b4eIeKUx9+Rqv8lGUblb3xW93Rpps/wuzL3RgzvMzMzMzFYXkqZHRL86rzkxsGplQ97bRcSi5QbXX0a7iKhrob4VKWvdiPhq+ZEgKR/4stZ2gmuFfv36xbRp01q6GmZmZmZmZi1iWYmB1jiVoElFyrSscFIgK2OVJAWyshqUFMhiy1fVc83MzMzMzGzN0BoXHzSzZjBq1CgGDBjAuHHjGhVTVlZGYWFhzfH777/PFltswaBBgxg0aBAfffRRk9bbzMzMzKy1cWLAzFa5iRMnUlVVxZQpU5gzZw4zZ85sUEx5eTkjR46koqKiJu6FF17g7LPPpqSkhJKSEjbZZJPmbIqZmZmZ2VrPUwmsVZjxzmx08NCWrsZap75FBktKShgxYgQAgwcPprS0lF69ei035qCDDmLChAkccEDNphhMnTqVSZMmcccdd9C/f3+uvPLKJmyRmZmZmVnr48SANZqk84ARQO0x3Z2AxyPi15L+BHRn6S0hvw3sExEz6ij3SKBrRFxWx7VyYHo9VWoLHBcRb9VX58rKSug3rL7LtoLKpj1U5/mKigq6du0KQF5eHrNmzWpQTF5e3lJx++yzD+eccw4bbrgh++23H6+++irbb7/9KmyFmZmZmVnr5sSArYgAzouI+3NPStqVtG0ipAUYj4uIf9WKuQ1YWE+5XwJV9Vz7d0QMqb3LgqRdIuK5FWiDNaGOHTuyYEHa3GL+/PksXrx4hWIABgwYwLrrrgvAtttuy8yZM50YMDMzMzNbhbzGgK2IxcAFkkqyn08kPQOMA/6bxQRwi6TJuT+kxEH73MIkDc+2Sqw+3kzSwHqefY+k3yjpB9woaaNV3kJbKX379qW0tBSAGTNm0L179xWKAdhrr7344IMP+OKLL3jiiSfYbrvtmqraZmZmZmatkkcM2IpoR86IAUklwN4R8aWk9pLaZnHHRcS/JA0HtoqIq2oXJKkNcDnw3ZzTi4H/J6lvHdstHgpcARQBvYARETFvFbbNVoHhw4dTWFjInDlzmDRpEkVFRYwdO3aJ3Qdqx0ydOrXOss477zx233131llnHU466SR69+7dXM0wMzMzM2sVFBEtXQdbw0i6HBgMfJid2gmYRurQrwNcChwObANUkNYe2BSYSRql8m5EHJ+VtSdwSESMknQw0D0iLpd0AfBxRPwxi5saEf1z6vAikA/0j4j/1VPPE4ATAFivQ1/O/e2q+xIsmfYQcX9xnZfKy8spLi5m4MCBFBQUrHCMmZmZmZmtPEnTI6JfXdc8YsBWxNbAScB6gIA/kN76LyR1+mdLOhz4STZioA3wdETsXUdZp5ASCbX9EZgi6f9FxBLrDki6GHgKeBt4WtJuEVFeu4CIuAG4AUD5ec6ANbP8/PyaXQdWJsbMzMzMzJqW1xiwFbED8DopGQDwC1JS4LvA8bmBkrYn7RowNRsRgKR22e+OQHldiwdGxMfA+aTkQ3VZm0t6JF2OsyLiOuA24MxV1zQzMzMzM7PWxSMGrFGyzv3MiKiQtDkwNudyJ+Cx7HNX4CrgE1KyYBzwmKT2wEBJD0fEY8DROfe3I01HACAi/lTr8f8DroyIv+bE/F7SuqukcWZmZmZmZq2QEwPWWOWkxf8A3oiIIdUXsu0K988O/wncGhGv5Fw/ADgH2IA0FYCcaz8hjTw4rp7n9gYezWJ/XeuaJF0XEfetQHvMzMzMzMxaNS8+aCtM0noRsWA1qIdIf5cX1xfTfpONonK3vs1Yq9Zhs/wuzL2xqKWrYWZmZmZmy+HFB61JrA5JAUgLDgDLzHD16daDafWsnm9mZmZmZtaaefFBMzMzMzMzs1bMiQEzW6VGjRrFgAEDGDduXKNiysrKKCwsrDl+//332WKLLRg0aBCDBg3io48+atJ6m5mZmZm1Vp5KYK3CjHdmo4OHtnQ11grLWldg4sSJVFVVMWXKFMaMGcPMmTPp1avXcmM23nhjRo4cSUVFRU3cCy+8wNlnn83o0aObtD1mZmZmZq1dgxIDktoAHYEvgEJgWkR83pQVs7WLpA2X93cm2/5wk4iYsaqfX1lZCf2GrepiW6WyaQ/Ve62kpIQRI0YAMHjwYEpLS5dKDNQVc9BBBzFhwgQOOOCAmripU6cyadIk7rjjDvr378+VV17ZBK0xMzMzM7OGjhi4F7gB+CGwEXA2MGSZd1izkPQG8H6t09+KiK7Z9QeBDUmL87Uh/ZkvBASsGxG7NvJ5/wNeq+fy1sBPI+JhSesDl0fEmOzarZL+EBGlOWVtAOS+Dt4GGCjp1pxzxbUTBZJ6AmMi4tTG1N2aXkVFBV27dgUgLy+PWbNmNSgmLy9vqbh99tmHc845hw033JD99tuPV199le23375pG2BmZmZm1go1NDGwcUQ8KenUiNhb0nNNWitrjC+BybXOda3+EBHDASR1BCYBf4qIa3ODJbUDZmc/AKdExGuSfk1KBv1/9u49zqqq/OP458tFQHFwBBXFlEzSNK9DpeQg4l1TKQ2VNDWMFLOrt5IsDQvz8ivTzEteynI0JCMVFdRJR0IbxZHUEjU1RcbKkWREYWae3x9rDx4OZ2bOIDMDzPf9es3LOWs/e+21z+Af+9lrPettYFxE/Bd4HjgoIt6VdCjw14h4Q9JhwAigeaeCMcALktYDBgEHABtJ6g1sA2wL9AGOA74B7A28BZyWM7TDgd2B/BkELwADJfWMiMYiviPrJP3792fJkvRPYPHixTQ1rbyDZDExACNGjKBPnz4AbL/99syfP9+JATMzMzOzDlBs8cG3szfPj0s6hPSgaGuOWXk/y3IPStodmANsBTwr6QFJX5fUJwvZGbglIkZlP/Oyt/Jjgb2AW4FTstgArpD0CeBM4IuSNgHOB5qy6/UEjgQqgAeAnwKPARcB9wPnRcR7pJkLvwCeAU4kJQImZT/7ATeTkxSQVCepCniYNLvgz5KqJC2S9JEP9hXa6lBWVkZVVZoUUlNTw9ChQ1cpBuDAAw/k9ddf55133uHee+/l4x//eEcN28zMzMysWyt2xsDngR0i4glJuwBHd+CYrH1eBC7Ja6sFkLQ98B3Sg/9XgJOy48cBk4GnJZ0E7AR8VtKngZeBE4BRwMMR0SRpKjAwp/9zSctLXiDNILgV+BPQMzs+DvgUUElKHvQC7gOqgacj4gKAiFiczT55MLuPi0hJgt8A10dE8wyGZk9GxD75X4CkSlKSIb99AjABgH598w9bBxgzZgzl5eUsWLCAGTNmUFFRwaRJk1bYfSA/Zs6cOQX7+v73v88+++zDeuutxymnnMJ2223XWbdhZmZmZtatKCKKC5Q+Tpqi/grwr4hY3JEDs9ZJ+hjpobelqfQ9SA/tbwO/zR7wrwNujojKrI9yYCGwEfBqRLwu6UrgXmBHYAPgz8D3gaqIOEfSnIjYQ9KvgLkRcYWkv5OSCYeRkgF/JtWiuAz4EnAEaWnBv4CPkf4N/TEiZkoaDGwOvEpKEGwFfA34dUSsMMdcUi0wv8C97gTsGBGvtvh9lZYEZ1/Y0mFrj+rpxNSZLR6uq6tj5syZjBw5ksGDB69yjJmZmZmZrT6SHo+I4YWOFbsrwc+BLUjF5b5HerPrEu9d6wXgh8AhwN9ID9flwI9Ib+7XAxaTCg/WSWouGDhZEqQH/10j4mVJfbKp/QB/B4YBi4DB2cP7v4Azmi8saQCwJbCLpGpScuJ4Uo0ASEmJ3wILgO9mn7cDNs2ObweUSNoZ+Fw2lj7AxaQZA+OA2ZIagT9ExCXZsoe/R8Te+V+EpDuB3u3+Bq1DlJaWLt914IPEmJmZmZlZ5yh2KcFOETFK0gMRcZekszp0VNamiFgKvCnpW6S39UtINQHKSDsOXBcRt0nqR3qzPyr3fEn38P5sg99IupCUYPgsKbnwH+DUrFjgLnmXv5CUHFpCqh9wKPATUiFEIuI9STeSEgO9gCeAD0XEidm174qI2yXtSJqxsBT4Aim50Gwr4NisD4BdaXk3hKOA91o4ZmZmZmZmZq0oNjHwb0nnAaWSTiA9zFkXy3YFWAL8ilR08OaI+EFeWBOwu6T8hdzb5/x+AfA7UkJhekTMyvq/DZhNqlnQ/DcXcHtEPCipBDgzIl4Cxkq6KDuvhLTTwFtA89aDB0hq3j2hOYHwNKnOwSnAxRFxY8693Qi8EhH/zJrGAncU+h4i4t1C7WZmZmZmZta2omoMZG+dJ5CmgP+d9Db6nQ4em7VC0tbAPcD+pJ0CvkFaStAD6EfaIvBK4Grg9y3MGPhKRLzczus+HRE7Fmj/Pmm2wRHZ8oSdImJedmwL4Ec5MwZmRsT+Oed+FfgqKyactgf2z3ZIKAOuAj4VxRbFyNN7k42jYe+yVTnV8mxWOpCF11Z09TDMzMzMzKwdWqsxUHTxQVvzSBoUEf9pI6YHsGFELOqkYbU0hvVbKliZbW9IRBQspCipL7BFgV0KijZ8+PCorq5e1dPNzMzMzMzWaq0lBnoU2cGM1TskWx3aSgpkMU1dmRTIGUOLu1hERGNLSYHs+LsfJClga67XX3+dWbNm8fbbb3f1UMzMzMzMuq2iEgPAPElHdOhIzGytMH78eEaMGMHkyZPbFVNbW0t5efnyz0899RRHH300jzzyCHvvvTdLly7t0HGbmZmZmVlhxRYf/ARwerblXT0QETG644Zl3ZWkUuC9YmpYSNoSqI2IZW3F1rz8Ijpq/7bCLNNSHYFp06bR2NjI7NmzmThxIvPnz2fYsGFtxgwaNIgTTjiB+vr65XHPPPMMN9xwAx/5yEeYN28e//znP9luu+06/N7MzMzMzGxFRSUGImKfjh6IdU+SNgO2IRVQBDgbqMmKI0Ka1fJ3YE9g94j4YZY8GAZ8B/gK8EZb12loaIDhh6/u4a+zaqunF2yvrKxk7NixAIwePZqqqqqVEgOFYo488khuvfVWjjji/YlHxxxzDA0NDdx1113U1dWx7bbbdtDdmJmZmZlZa4pKDEj6Yn5bRPx69Q/HuqGBwO5Ac42Be7P/7pr9tyfwOnAOUCfp5ixmb6AU2ElSQ0T8udNG3I3V19czZMgQAEpKSnj++eeLiikpKSnY3+LFi7ntttvYeOONkdRxAzczMzMzsxYVW2NA2c/6wOeAkR02IutWIuKZiLiS9Ob/mJyf44FPZ8dGA9Mi4nDgBGAf4FmghDRzwK+aO0n//v1ZsmQJkB7qm5qaVimm2UYbbcRNN91E3759+etf/9oxgzYzMzMzs1YVlRiIiJuyn19GxBjAVcJsdXsCuCfv57ns2F+BL2Q1Lr4H/DciLgVqgWsj4lddMN5uqaysjKqqKgBqamoYOnToKsUAnHrqqTz00EMAvPXWW2y00UYdMWQzMzMzM2tDsUsJcmcIbAjs2DHDse5G0gDgj9nHjxQ4vi9plsrZpCUHPwN+JOkS0r/DiyT1BG6IiKfyzp0ATACgX9+OuoVuZcyYMZSXl7NgwQJmzJhBRUUFkyZNWmH3gfyYOXPmFOzrrLPO4vjjj0cSBxxwgAsPmpmZmZl1EUVE20HS93M+LgWmR8TTHTYq6zayQoI3RMQYSYeRagpA2vnij5KmApcCPyclpWYC12VxVcAPgKnAGxHxdovXKS0Jzr6w425kXVM9nZg6s+Churo6Zs6cyciRIxk8ePAqx5iZmZmZWeeR9HhEDC90rNhdCc7P63Cv1TEwM97fjQDgNGBK9vuPeX8mwbPAGcBwYGZE1Eg6kZQgOBL4WUS82znDtdLS0uW7DnyQGDMzMzMzWzMUVWNAUv6rwx93wFise8otRd+HNAPgB0BT3vE+wLHAdyXtBkwEzgVuAq7NlhOYmZmZmZlZO7U6Y0DSzsBuwJCcLQs3APx21laX5Q/0EbFP7gFJXwC2Bt4mJQj+ADwAXAUcFRH/A66UtCMpaXBzZw3azMzMzMxsXdHWUgIV+O9/Ac8RttUiIv4DjGnhcEVE/Db7vXmnAiSNjIjlO2NExMS2rtOrVy8aqqd/wNF2H5uVDuzqIZiZmZmZWSdpNTEQETVAjaTtIuLXnTQmMwAiorGF9nZvl7nL1ttQ3UIxPTMzMzMzs+6s2OKD35W0CdAvaxoSEX/puGGZmZmZmZmZWWcotvjgr4BbSVXibwEu7shBmdmaYfz48YwYMYLJkye3K6a2tpby8vLln1955RVGjRrF6NGjmTBhAsVsk2pmZmZmZp2jqBkDpAJwBwG/JRV5e6DDRmTWAWpefhEdtX9XD2ONtFnpQBZeW7FS+7Rp02hsbGT27NlMnDiR+fPnM2zYsDZjBg0axAknnEB9ff3yuKuvvpqrrrqKj33sYxx88MHMmzePnXfeucPvzczMzMzM2lZsYuA9YF9SBfnPA6UdNiJbJ0nq2VLNgHb0sX5EvLMq5zY0NMDwwz/I5ddZtS0UZaysrGTs2FRndPTo0VRVVa2UGCgUc+SRR3LrrbdyxBFHLI+78MILl//+3//+l0GDBq3u2zAzMzMzs1VU1FIC0i4E84FvAh8j7SFv1iIlPXOaJks6JOd4T0k9cj5fKekUSadL+kGB/nYEfpf9/kNJn5bUW9JBkvaTNKQDb6dbqq+vZ8iQ9LWWlJRQW1tbVExJSQkDBgwo2Oett97KjjvuyBZbbNFxAzczMzMzs3YptvhgvaS+wEdINQb+1aGjsnXBzsAlkpqAwaR/MztJugh4GVgP+DHwYBa/CHiHNCulT25HkrYArgKOknQB8AXgYOA8YBOgKevTVqP+/fuzZMkSABYvXkxTU9MqxTR78cUXueSSS5g1a1bHDNjMzMzMzFZJscUHfw6cT3qQ24bsza1ZSyKiJiL2B44nPbQfCXwFqAUOi4gDgL9J+n12ylLSA34ASOol6RlJfYDNgbOAo4FLgJtJs1buiYibIuI3ETG/E2+vWygrK6OqqgqAmpoahg4dukoxAHV1dRx77LFcf/31Lc4mMDMzMzOzrlFsjYGdImKUpAci4i5JZ3XoqGydIOkaYFfSTIB7cw7NkfRMRJwkaXtJ2xY4vQx4MSLeAx6XdBgwAhgO7A7sl/WzF9AbuD0iViidL2kCMAGAfn1X6711B2PGjKG8vJwFCxYwY8YMKioqmDRp0gq7D+THzJkzp2BfU6ZM4ZVXXuH0008H4Pzzz2fvvffulPswMzMzM7PWqZhtw7K3uvOAzwI/BQ6JiKM7dmi2tpN0BXAFsDcpOfA8MJ60u8UXIuJkSZNIswR6Z8d7AYNISwSeiIhbJQ0G5gA/iIgbJX0LqIyIJyRtCUyKiFNaHUtpSXD2ha2FdF/V04mpMwseqqurY+bMmYwcOZLBgwevcoyZmZmZmXUtSY9HxPBCx1qdMSDpiIj4I/BtUlLgL8BGwEmre5C2zvo0qXhlcyHCl0hLA5rdQUoeVOa09QAOB36Qfd6XVNsCSb8D9gCOlfRT4M8dMWhLSktLl+868EFizMzMzMxszdXWUoKvA38EboyI0Z0wHlv3PAIsI9UQmEMqGPgYMBogIv4maT9gUs45TcDwiFiSxfxW0lFA/4gYl+1acGdEVGczBszMzMzMzGwVtZUYiKwK/IclnbfCgYgLOm5Yto75N3A2cAowk6zoZVZYsCkilkla4YRsJ4xeQM+szkAPYH1Jk4FDgJGSbgPu6rzbMDMzMzMzW/e0lRj4LLALcBhpqrdajTZb0XoAETEDmAEgaXNgOnAdcBwwQdKyLH6/5hMljSH9+7yJtFVhH9Ksgyrgsoh4U1IJ8DDwi7YG0qtXLxqqp6+eu1rHbFY6sKuHYGZmZmZmXajY4oNfi4jLO2E81g1I6te8TGA19KUo4h/x8OHDo7q6enVc0szMzMzMbK3TWvHBHsV04KSArU6rKymQ9dV2ZsvMzMzMzMxaVFRiwMzWfePHj2fEiBFMnjy5XTG1tbWUl5evEPfss89yxBFHdNhYzczMzMxs9WmrxoDZOqHm5RfRUft39TC61GalA1l4bUXBY9OmTaOxsZHZs2czceJE5s+fz7Bhw9qMGTRoECeccAL19fXL41544QXOPPNMFi9e3KH3Y2ZmZmZmq4cTA9Yukj4MvBkRi9pxzqCI+E8rxw8B/hIRdZK2AgZHxGOrYbjLNTQ0wPDDV2eXa53aVoovVlZWMnbsWABGjx5NVVXVSomBQjFHHnkkt9566wqzAzbccENuv/12DjzwwA64CzMzMzMzW92cGOgGJPUFegP9gBJgELA1aceJuyOiKot7OiJ2zOLPyE5vjIgf53T3UeB8ScdmMbsD9cDQiNi2hSHcLemoiHilwNgEXAiMk7Q1MAA4QdLSLGRhRCzMYh8ClgG5dQU+FBHbtef7sJXV19czZMgQAEpKSnj++eeLiikpKVkpbtNNN+3YwZqZmZmZ2WrlxED38EXgBGAxKTmwPnALMA/4r6SepIftt7Pf1wMOAL4F3ADkJgZmAnXArsAGwNiI+JekytwLSnoEeJu0zeB2wDUpBwBZ/9dGxC3AocBfgR1JyYom4ClgH6AnMAdYmJ23DDgwIhpyrvPnVf9arFn//v1ZsiTVhFy8eDFNTU2rFGNmZmZmZmsfJwa6h+uB6yOiQdIo4KiIuFRSD9LD98HAd4GdgVmkmQB1EVEtafnicUlDgFuBI0lJhW8Dr2aH15c0AngpIhZExKezc64mJQF+18LYvgPMBaqAU4B3SMmBHkBDRFySE9sLuElS7oyBTVblC7EVlZWVUVVVxR577EFNTQ3bbbfyJIxiYszMzMzMbO3jxED3cCjwNUnLgI2BzSRtS3r4roqIC7IEwLXAvkBfoCG/k4h4TdJFwPnAv4Ef52wXOIk0y2AqsABA0meBzwIfkfSlLG4AMDsivi7pi8A/s/a3gCmFrpslMAQcREpk5GrKjhMRTXnnTQAmANCvbxtfUfc2ZswYysvLWbBgATNmzKCiooJJkyatsPtAfsycOXO6cMRmZmZmZra6yNvAr9uypQFERGP2eRRpxsBXs88iJYiuAA4E/gZ8CbgsIo6TNCci9sjrsxcwBKggPdA3kpYnXB4Rd2QxRwA/ARYBF+ScvgOwWUR8W9KmpDf+pwLnAGOyvoKUCGiIiN9LOpA0O2Ep8Gngkbzb7AncEBG3tfg9lJYEZ1/Y5ve1TqueTkyd2eLhuro6Zs6cyciRIxk8ePAqx5iZmZmZ2ZpH0uMRMbzQMc8YWPcdBHxTUvOb+NwZA5BmDTxEKiq4ELgd2An4byt9/p70Jv5qYIOIuFLSXcADAJI+kR3/PHAN8G7OuUvJigdGxBuS1s9pPznvOi8Cv4+Ie4F7sx0LpkTEuHbcvxWptLR0+a4DHyTGzMzMzMzWLk4MrOMi4i7grubP+TMGsrbTgZ8C34mIG7Ip/n8r1J+knYHFEfFvSTcDf5D0MeA3EfG/7Jp/BQ6VNBT4CGk2QLMBQKGCgQ2kGQL75VzrrryYYcAWeYUOy0jbG9ZjZmZmZmZm7ebEQPezPitu9wdwRUSEpEnZev0Tgea38sq2EdyDNFPgF8BXsmM7kd707wq8JWlw89aCOR6NiM/wfmd7A5/JOd5cMyCA3STNyhvrchFxP3B/Tl/rAX9xUsDMzMzMzGzVOTHQjUg6HLiYtA3hcjkFBDcAjgAeyXnA/zcwjbQkYGPgwYh4WtJvSDsInBMR87NCg1MlfT0iHs/OXeHfl6RPAr8i7XrQbEPS9oW9gbl5Mwbua+E+PkTaNnEJ8Oti7r1Xr140VE8vJnSdtVnpwK4egpmZmZmZrYFcfNBWIkmxhv/DkNSzuaBiMYYPHx7V1dUdOSQzMzMzM7M1VmvFB3t09mBszbemJwXg/V0WzMzMzMzM7INxYsCsmxs/fjwjRoxg8uTJ7Yqpra2lvLx8hbhnn32WI444osPGamZmZmZmq58TA2bd2LRp02hsbGT27NksWLCA+fPnFxVTV1fHCSecQH39+3UfX3jhBc4880wWLVrUmbdgZmZmZmYfkIsP2gciqTQi6rp6HG2peflFdNT+XT2MLrNZ6UAWXluxUntlZSVjx44FYPTo0VRVVTFs2LA2Y4488khuvfXWFWYHbLjhhtx+++0ceOCBHXgnZmZmZma2ujkx0E1IuhS4LiKelfRp4PiIOCUvph/wHmnngnsj4j5JW0bEqzkxPwOuBF4ClgHflVQZEXdJ6g00RkSTpCHA48Df84ayHfCJ3D5z+p4M3B4Rcwsceyoids75/ExE7FDs/Tc0NMDww4sNX+fUtrAjQ319PUOGDAGgpKSE559/vqiYkpKSleI23XTT1ThiMzMzMzPrLF5K0A1I6gnsAzyXNb0HNOTF9AFuy+IagWWSBgBXSzopJ/Q24EzgF8As4FjgdEn3AHcDu2ZxS1sZUkuFA4cDA/LG1Zy8WpIXu7j53iR9WZJauZ61oH///ixZkr7axYsX09TUtEoxZmZmZma29nJioHs4AtgAuF/Soux3JPXI/tsHuBO4JiLuBwL4NDAVuBzYWdIQSR8GekXElyPiZGA2cBYwDngoIvaPiCeyazYCvwNuzvv5Ha0nDX4uqar5B/h+1p6/U0KTpI8B9wHlzfdk7VNWVkZVVRUANTU1DB06dJVizMzMzMxs7eWlBOu47I37N0kzARYCDwP1QClwj6QxEfGOpDHARyWdDxwFPAZcBiwCzo+ItyRtAVwk6TagH3AS8HQWv7GkARFxtqQTSMmCRcAW+UMCfivpZxExo8CQT4+IygLt/bJEQT/gBmBz4BLgOxHx2Cp9OcaYMWMoLy9nwYIFzJgxg4qKCiZNmrTC7gP5MXPmzOnCEZuZmZmZ2eqmtWDLevsAJH2N9IZ+BHAXsAswDTiR9Lb9WNKsgMnAR4ELWXGZwaHAlRExK+uvD7AhMBh4B3g5IhqzYz8Bzo6IyN7mXwQ8BAwjJQSeA0ZmMc9m55wNHJZda0fgVVJCAeC3EXFVFjcnIvbIua8VPrdw7xOACQD061vGeT8p6jtbJ1VPJ6bOLHiorq6OmTNnMnLkSAYPHrzKMWZmZmZmtuaS9HhEDC90zDMG1n1XZMUAnwTuBbYHhgBExHRJI4A+EbGvpLtIb/pzF5FvzYqJgkbgjIg4R9IsYI6kPwHnRcShOXE9gDKgBNiUlBj4KClJ0DMnbivgkoi4I3fQkk7Mjq2yiLgGuAZApSXOgLWgtLR0+a4DHyTGzMzMzMzWTk4MrOMiovkhvwyYHBGvZzsGNPtOrDht5GLSbgPNjs3r8higIduBoJ70b0isXAPgbeB64L/AbqREwePAIOB/uUNsZfgrVLnLlkWcQJqxkNs+GHgj517NzMzMzMysSE4MrOOyh+lzgKFZwUBID/IA5CUFct/k52ouUtgPOAPYFzgImEPOLgKSNgV2j4h7gNHAKNIMg+YZAx/K+qoGXsnp/yJJ5+RdcxNSLYHme9gK+CtpOcRlwEmS1iPNZriOtEvC3a1+GWZmZmZmZrYSJwbWfSNJb96/nNPWB+hdILYXaSvC/KUEt2S/70DaWWAbYBJwMHBudl4fUs2CKyTtDhzP+7UC1iclBhZnn0+X9FpE/DU77+wWlhIMA4iIBkmXAr+JiDey43cA92f9vkhaJmFmZmZmZmbt5OKDtpyk9SKita0Em+P6AutHxJudMKzVovcmG0fD3mVdPYwus1npQBZeW9HVwzAzMzMzsy7i4oNWlGKSAlncu8C7HTyc1WqXrbehuoWq/GZmZmZmZt1Zj64egJmZmZmZmZl1HScGzLqh8ePHM2LECCZPntyumNraWsrLy1eIe/bZZzniiCM6bKxmZmZmZtaxvJTA1iiSNgS2jIhnV2e/NS+/iI7af3V2ucZrqa7AtGnTaGxsZPbs2UycOJH58+czbNiwNmMGDRrECSecQH19/fK4F154gTPPPJPFixfnX8bMzMzMzNYSTgzYmuaTwImkXQ1WIOk3wI8j4pmcth8AVRExq7VOGxoaYPjhq3eka7ja6ukF2ysrKxk7diwAo0ePpqqqaqXEQKGYI488kltvvXWF2QEbbrght99+OwceeGAH3YWZmZmZmXU0Jwasy0k6F2h+nb8p0E9SZfZ5XkScnv3+HvBO3ukN2Y8Vqb6+niFDhgBQUlLC888/X1RMSUnJSnGbbrppxw7WzMzMzMw6nBMDtibYHjgFmA/MBfaNiBcBJFVK2guYAuwI7CjpduAgUkJgG+BISddExFVdMvq1TP/+/VmyZAkAixcvpqmpaZVizMzMzMxs3eDig7YmOCEi/g6cT5oRcCCApE8AB0REVdbWE/h2RFwSEftFxEHAr4FvOilQvLKyMqqqqgCoqalh6NChqxRjZmZmZmbrBs8YsC4XEU2SzgFGAfsAf5Y0H/gh8DngddKMgkbgRklfBL4NfL21fiVNACYA0K9vRw1/rTNmzBjKy8tZsGABM2bMoKKigkmTJq2w+0B+zJw5c7pwxGZmZmZm1pEUEV09BuvGJG0D/AToA/w3Ik6U9AXgYmDHiKiTNBT4I/AkcBewCPgwKVGwGan4YGWr1yktCc6+sKNuY81UPZ2YOrPgobq6OmbOnMnIkSMZPHjwKseYmZmZmdnaQdLjETG80DHPGLCu1gv4JfAqcI6krYF7gXLgh5K+DRxGmj1wEPBYRLwkSRERkiZ11cDXZqWlpct3HfggMWZmZmZmtvZzjQHrUhHxXLbV4AbAHqQZAVsAp5JmBvwd+ENETAVE9m823p/q0h9wZTwzMzMzM7NV5MSArSnWB/4E7BERT0VyLrBPRLyaxfQhJRAAyGYL7A38rdNHa2ZmZmZmto5wjQHrFnpvsnE07F3W1cPoVJuVDmThtRVdPQwzMzMzM1sDuMaAdXu7bL0N1S0U4jMzMzMzM+vOvJTAzMzMzMzMrBtzYsBsHTR+/HhGjBjB5MmT2xWT3/bPf/6TQw89lPLycr797W93+LjNzMzMzKzzeSmBdQs1L7+Ijtq/q4exWrVUQ2DatGk0NjYye/ZsJk6cyPz58xk2bFibMfPmzVup7dxzz+V73/see+yxB0cffTSVlZWMGjWqk+7QzMzMzMw6gxMD6whJgyLiPy0cOwT4S0TUSdoKGBwRj3XuCIsnacOIeLuFY72Bhmhn1cyGhgYYfvhqGd+aorZ6esH2yspKxo4dC8Do0aOpqqpaKTFQKGbu3LkrtT333HPsvvvuAGy66aYsWrSoo27HzMzMzMy6iJcSrDvuzh76VyBJwIXAYEm7Ah8GTpG0a/YzOCf2IUn3S5qV8/OPvP5GS3o4O/ZQTtxDknbJidtX0oY5nz8u6XcFxvchSTdnv58laWPgGUn7SDqs+R4k3SKpH3AOcI+k+yTdI2mJpC9/sK9u3VJfX8+QIUMAKCkpoba2tqiYQm1HHXUU559/Pn/605+455572HfffTvvRszMzMzMrFN4xsBaTNIjwNtAH2A74JqUBwBgPeDa7PhfgR2BrYEm4ClgH6AnMAdYmJ2zDDgwIhpyrvHn3GtGxAPAA9mx2RExsoXhbQNcJukg4A2gMesfSetFxNKcazZI6gUcDNwGPAE8Blwn6e6IaJT0KHBCRPxQUgnwJ+DvwLcj4triv7V1X//+/VmyZAkAixcvpqmpqaiYQm2TJk2iqqqKiy++mBNOOIH+/ft33o2YmZmZmVmncGJgLRYRnwaQdDVwbUQUeiP/CDAXqAJOAd4hJQd6kKbkX5IT3gu4SVLuNP1NWhlCQyvHrgOeAT4OfAfoCwyVNAvoJWlf4GjgVGDbLH4ocDfQG/gj0B8oByqBy4GQNCVrXwbsDSyTdEtEHNvKWLqVsrIyqqqq2GOPPaipqWG77bYrKmbLLbcseN6uu+7KK6+8wi233NLZt2JmZmZmZp3AiYG1nKTPAp8FPiLpS1nzAGA28Djwz6ztLWAKBR7mJfUABBxEmkWQqyk7DrAhcAfwXvb545IeID2kB+mB/VjSbIXrgJ9ExAxgpqTtgXMi4sScvn8n6T7gEuCkiAhJvwUujIhncsb3RWA8cDJpZsSvgNdICYV7gK+38N1MACYA0K9voZB10pgxYygvL2fBggXMmDGDiooKJk2atMLuA/kxc+bMQdJKbQAXX3wx3/rWt1h//fW76pbMzMzMzKwDqZ013GwNIukI4CfAIuCCnEM7AJsBF5He+J9KWps/hjSlP0iJgIaI+L2kA4FvA0uBTwOP5F2qJ3BDRNyWc+0tgJ+SlglcEhEv5Y1tU9LShR+QElDbAPWkZQvrAVdHxK2SPkJ6uL8XuJi0POBRUnJjfkSMzfr7AXA78D1gWnaP2wB3AuMjotUtB1RaEpx9YWsha5/q6cTUmQUP1dXVMXPmTEaOHMngwYOLjinmPDMzMzMzW/tIejwihhc65hkDaylJnyC9Df88cA3wbs7hpUBExBuS1s9pOzmvmxeB30fEvcC9WfHCKRExroghfBaYBexc6GB27YOBLwJvAvcBxwFNEfHv7B5OBk4D/gF8E/g9qb7A+cAewPz8bkkJjZOBUtIMhsG0vtyhWyotLV2+w0B7Yoo5z8zMzMzM1i1ODKylIuKvwKGShgIfIc0IaDYA+HPeKQ2kGQL7NTdIuisvZhiwhaTKnLYy0vaG9TnnbUGqV/BpchIDkrYEXs+KBe4AjImIm7IEwPkRUSvpOknXZNsl3kKqJXAx8H3gJeAbQAVpecKoArfeKyL2kzQKGA7cCKxUW8HMzMzMzMyK48TAuuHRiPhM8wdJewPNn5trBgSwW1b8r9kKi8Yj4n7g/px+1gP+kpcU2Jw0ff/8iPifpCbSG/uXSG/6p0r6C3AzcFS23GES8JykAcBAYF9JZRHxpqTmMvd3AtXAEcDGpFkGWwMvSuoJ7JZ9fiKLf4W0LGJP4AZJfSKiufaBmZmZmZmZFcmJgbXfCn9DSZ8kFec7I2vakLSmvzcwN2/GwH2FOpT0IWAmsAT4dU77VqTEwTkRcXvWfAdwSfbw/iZpB4GtgF9ExItZMuCbwL9I9Qj+TZoJMFRSHTAVmEEqkvgkaabDnsCuwG8l/YKUTHiStLPCMdm4+2T31D87vjlwWYtfUq9eNFRPb+nwWmmz0oFdPQQzMzMzM1sHuPigFSSpZ0Q0FmgviYj/rcbr9IuIJdnvG+TOTsiJ6UWqTdC0qtcZPnx4VFdXf4CRmpmZmZmZrb1cfNDarVBSIGtfbUmBrL8lOb+vlBTI2lfaYtHMzMzMzMxWjx5th5jZmmr8+PGMGDGCyZMntysmv62uro5DDjmE8vJyTjnllA4ft5mZmZmZrTk8Y8C6hZqXX0RH7d/Vw1glm5UOZOG1FSu1T5s2jcbGRmbPns3EiROZP38+w4YNazNm3rx5K7XNmDGD4447jnHjxvGFL3yB6upqhg8vOMvIzMzMzMzWMU4MrOEkbQr8t6Wp/avQX2lE1K2Gfnp8kDX/na2hoQGGH97Vw1gltS0UTaysrGTs2LEAjB49mqqqqpUSA4Vi5s6du1LbwIED+cc//sFbb73Fv/71L7baaqsOvCMzMzMzM1uTeCnBGkbJejlN15Aq9Dcf7yWpR/b7pZI+lv3+aUm/LNDfzyR9VNJ6kgR8V9Kh2bHeOX0NkbRQUmXez+uStszp78eSKoH5kuZJeib7qZR0XRH3t7WkS3M+by7pIUmz8n4ektQv77rDCvfaPdXX1zNkyBAASkpKqK2tLSqmUNtee+3F/Pnzufzyy9l+++0pLS3tvBsxMzMzM7Mu5RkDa57NSNv0LSNt+9cL+JGkTwFzss/fkPQssA9wVnbee0ChIn23AWcCAj4MbAfsJOl0oCdwNvAEsLSVMeXOVvgF8HvgOOAZYAvgHWAWKYnRIknrk7YU/HJzW0S8Doxs7bzMFOB6SSet7gKIa6v+/fuzZEmq3bh48WKamlaewFEoplDbd7/7XX75y19SUlLCZZddxg033MCECRM672bMzMzMzKzLeMbAGiYiFkbEvqSHZwHnARcDjwLTI2K/iPgbcASwAXC/pEXZ7zTPAMh+/zDQKyK+HBEnA7NJiYRxwEMRsX9EPJGFNwK/A27O+/kdKyYNJgJfAj4G7ALsAOwE7Adc0cbtnQZcGhFv5oxRLQXnHouIRcAFwDfbuEa3UVZWRlVVFQA1NTUMHTq0qJhCbe+8887y2gOPPvoorfxZzMzMzMxsHeMZA2sYSb2A8aTEwEukWQAbAb8CRkh6FJhMekDeB1gIPAzUA6XAPZLGRMQ7pFkEF0m6DegHnAQ8DRwFbCxpQEScLekEUrJgEWkGwApDIs1g+FlEzAA2BsqAwcAgYENSUmHrNHy9HhEzW7i9nSPi4ry26mx2xIeze+kPNAH/BV4DjmwOjIgaSWe0/S1mA5cmAOm1d7++xZ621hgzZgzl5eUsWLCAGTNmUFFRwaRJk1bYfSA/Zs6cOUhaqW3bbbflpJNO4uWXX2bPPffk2GOP7cI7MzMzMzOzzqSI6OoxWI5sPf/pwI3AXcBT2aEewN3AnaTEQS0wIovZBZgGnAjcBxwbEcdm/fUhPbwPJk35f7m5kKGknwBnR0RktQouAh4ChpESAs+RpvmfHRHPZuf0Ji1N2DUixko6EVicXfdy4PaI+FML93ZDRJzUwrE/At8C9gfejYgb29tHa1RaEpx9YXtPWzNUTyemFs611NXVMXPmTEaOHMngwYOLjinmPDMzMzMzW3dIejwiCm495hkDa5iIeBU4W9JQ4D/Ak9mhnqTdCV6V9MOIaJL0JHAvsD0wJDt/uqQRkkZFRCXpbf4ZEXGOpFnAHEl/As6LiENzLt2DNBOgBNiUlBj4KClJ0BNA0j6kh/8tgHlZEcJmlwPXAQ+2cnsN2SyFRQWODQHeaO27yWoUeI57jtLS0uU7DLQnppjzzMzMzMyse3BiYA0jaSPS2/cGYHNgb9LDfQ9gT0nfItUcmEZ6kJ8cEa9LGpLTzXfi/akgx5AeyHuTlhv0Ij1c508VeRu4njSFf7fseo+Tlgs0F/t7BPgEcE9EjJI0HhgQEZdJeiwizmvj9m4GzgG+k3fPOwFvRcTbuWvbJfWOiGU5od8Cbm3jGmZmZmZmZtYOTgysYSLirWwHgsHAlcDxpCUAxwN7AacCPSVNAoZmRQUh5016c1Ig2+7vDGBf4CDSrgYDmuMkbQrsHhH3AKOBUaQkRPOMgQ+REgTVwCsRsTQ7b6qkvYBvACdJugeokbRec0wL9/ZnSQdI+mpEXJH1tQXwW6D5PppIyQiACyQ9ExG/yZIQG2d1DszMzMzMzGw1cWJgzdSLVCSwJ/AsaQ3/20Bv4OfAVNID9JdzzumTHc+1A+kt/TbAJOBg4Nys/z6kmQlXSNqdlHhonuLfPGV/cfb5dEmvkRIEd5GSFk8BR0XEPyQdT6o78EvSjgUtiohzJe0KIGkz4AHgnIh4LAupBK6SdBSpGGFzscLHI+JXrfXdml69etFQPX1VT+9Sm5UO7OohmJmZmZnZOszFB9dQkrYF/p27Hj/bvm+TiGh1LX6BvvoC6+duE/gBxtXqrIBV6K9XRDSsrv5aMnz48Kiuru7oy5iZmZmZma2RXHxwLRQRzxdoC9oo0NdCX+8C766mca22pEDWX4cnBczMzMzMzKxlPbp6AGa2asaPH8+IESOYPHlyu2Ly2+rq6jjkkEMoLy/nlFNO6fBxm5mZmZnZmsWJAbO10LRp02hsbGT27NksWLCA+fPnFxVTqO03v/kNxx13HA8//DBvv/02XnJhZmZmZta9dPlSgmwbvYbo5GIHkgZFxH/aiFGx45LUH3h3dU6Nz2oDDAK2Bj4eEVdndQZ6tnQdST0AIqJpdY1jXVDz8ovoqP27ehjttlnpQBZeW7FSe2VlJWPHjgVg9OjRVFVVMWzYsDZj5s6du1LbwIED+cc//sFbb73Fv/71L7baaqsOviszMzMzM1uTdEliIHu4/R2pgv0ZwF5ZWxOwN/C1iLhW0jhgE+AqYGdSNfxtgJ2AZRExsUDf3wMWRsS1bQzjbklHRcQrBfroGRGNwJ6SjomIr7VwH7mF8y4F/gDck9dHUSRtSdpBAOB54AbgJtLuBG8Cr0namLRjwO8lvZfF9iJ9N09kn3sCU4C7si3+fkfafrAvMBLYFfg/UnLhH+0Y3yBgW6AfcDYwHtgi63sQ8DFgcnadNuMiYrGkA0kJj0ubixpKejgiyiX1IpVVaCw2rrXxNzQ0wPDDi73dNUZtCzsp1NfXM2TIEABKSkp4/vmVSlIUjCnUduyxx3LXXXdx+eWXs/3221NaWtpBd2NmZmZmZmuiLkkMRERIehQ4ISJ+KKkE+BPwd+DbOQ/1twK/AtYDDgf+CXwBODwialvofmn2sxJJj5C2/esDbAdck/IRkF3j2oi4BThX0gHAEOBdSVXAh4DxETErp8ubs7GvT9ra76uSzsl+f5K0RWCxegIvRcSJkh4jJUlujogf5MW9CeyZc09nAHdFxI8L9LkQuAa4nfRwPiy7j31I2xEWnRggPewfRfreGkhbJc4DJgDnAVXAMuDjRcYBnAackc1yuFLSJsAwSXeQ/m3+CJjdjrhuo3///ixZsgSAxYsX09S08gSRQjGF2r773e/yy1/+kpKSEi677DJuuOEGJkyY0Hk3Y2ZmZmZmXaorawxcDlwtaQrpwW4ZabbADpJuAYiIxog4kfSmuQL4C9AIlEraQdKHACQ9K2mWpFmkN9RnZp+rJN3TfMGI+HREHAQ8B5waEQfl/IzOkgJExAVAOfACsH9E7AVcCzRIKs3eUhMRxwDfJj0AHx4Rn8ku9bWIaE9SgOy+mjWREgWtkrQ18H1gZvZ77rES4IGIOD7r7zPACGB7YAywWzvH1wAEcDVpVsBc0kP+6xHxaES8EBHvFRsnaV9gAbAXcCZplsRjpITKHOAVYH6xce28l7VeWVkZVVVVANTU1DB06NCiYgq1vfPOO8ybN4/GxkYeffRRcpJlZmZmZmbWDXTVUoIvkh7gTya9Wf4V8BrprfQ9wNezafBfA+4EngU+SnrgHAwcS0pqPAn8i7SsYL+s7zNISwluljQUuCLv2p8FPgt8RNKXsuYBwOyI+HoW82HSdPyZQB9J25ESF8OAQ4BnJP2TNCPgPWArYHpWL2EYcLmk9YDLIuIeVs16wLGShpOm3z9PmhlweTbGEuC3wF+z7+I3ki6NiD9m5w8FfiLpYtISgrnAxtm9vgj0lbRTRMxrx5j6AocB+5KWOLwLHCDpQaA/aTnF80XGbQ/sAhyY3d/OwKGk5RTPAJdGxL8llRcT1457WCeMGTOG8vJyFixYwIwZM6ioqGDSpEkr7D6QHzNnzhwkrdS27bbbctJJJ/Hyyy+z5557cuyxx3bhnZmZmZmZWWfrqqUEv5a0DekBchnpYbEfaYp//yzmV5JeAEZFRPPaeyR9OiK+n9dlUYX2JB1BeuB/CfhpzqEdgM2ymC1ID65XR8S9kr4AbEha6nAKaSnCbRHxDvBnSQez8tv9xoiYUcyYWrEhcH1EXCRpVkQcmHMfm5CWB1xIekhuAj4HPCBpWUTcHRFPSfoMacnAG8DPc/reApjazqQAQD3p7Xx9ds2nSN/Lj4GvRkRFlshoMy67jzeA/0TEu5I+DbwFlGXn7g8QET8oJq4QSRNISxigX9923uqaraSkhMrKSmbOnMlZZ53F4MGD2WWXXVqNGTBgAMBKbZ/85Cd5+umnu+I2zMzMzMxsDdDVuxIE6cH1ZKCU9DA8mFRwcAWSZpNqB2wgqZK0A8BB2eFe2TICSG/vl0o6kZR4+F92/idID4mfJ627fzen+6XZWCC9UV8fOF3S6aSH6J6kqfiQvrNhQE32+TLgO3nD/Tnw4ZyxlwGLiyj2d0DOfWxLeqDP/x62Jy2r+FZEPCDpUICI+I+kMcAsScMj4s2IaMjuYQ5QSypoCOmt+4dWYXxbkOob/AWYBXyT9PDf7rgsgTAFuF3SK6SZBuuR6jr8D2jKagrsXkxcoV0YIuIa0t8alZZ06q4XnaG0tHT5DgPtiSnmPDMzMzMz6z66OjEA0Csi9pM0ChgO3EiqpN9sW0m/Ad5pXi4AkCUHmn0pIh7L2nOXEvQlLUEgIv4KHJotL/gIcE7O+QOAP2dxz2azAP4PuI5UTK8/aanDsrzig2THvpHXtn7e5/eA6yXt1cr2hyLNEJgk6STgVOCLBeLmA0dExMv5ByLiRUm7RkRzMmR/YCNS0mN9Uq2G5vvNHUcx4wP4L/AD0pv/e0n1BLZbxbingeER8Vw21ntJs0f2Ii0z6EGqQ/HnIuNWdcmGmZmZmZlZt9ZVNQZ6korfbc372+y9QirAtydwg6Q+pLfaBwOfIm3Rl/9QDkBzUiDTg/SQTUS8S5rGnu/RnEKBSNqbbEaApA2BK0lvuP9OSgxAWst/fbZ13tk5b6hfj4hReff3t7zx/U1SHelB/6YW7uFfvL+LQR3pDf7fC8Q1ArlJgeX3mx1vTgr0Im0X+DlScmQX0owMSMmC3KKMbY6PNGviANJWkQAPZuO8MPf67YgbAXwlq8XwG9KuE18nfecC7omImVnxwTbjWhizmZmZmZmZtaGrZgycTiocWAUcI+k+Un2B3qQ38AOBzUlT3/8ZEc9LejtvxkBVC333J001b8kK9yzpk6Tih2dkTdsBMyLilmzXgzOB72VT9Y8gFUTcEFiUxW+TN3sB0lT6fN8ivUlvlVJJ+NOBr+Q095HUJ6v6n69P/j1ldgKmR8T/spkTv4uIc7JrXA78LS++1fFFxKPAjjnjLAV+HRGPStoJ2KA9caSEzVkR8ZKk/Uj/Fn4BXExaSnJxtpTgiWLiIuLelsZuZmZmZmZmLVPrM8c76KLpbXZToXXha5JsZsM2EdHidniS+kXEkk4c1hpDktpYetCuuI7Ue5ONo2Hvsq4cwirZrHQgC6+t6OphmJmZmZnZWk7S4xExvNCxrtqVoKErrtte2bT9FpMCWUy3TAoAFPuw39VJAYBdtt6G6qlecWBmZmZmZpavR1cPwMzMzMzMzMy6jhMDZmu48ePHM2LECCZPntyumPy2q666ilGjRjFq1Ch23XVXvvKVr7TUnZmZmZmZdSNrwnaFViRJGwDvRURD9nuPiHi7q8e1Nqh5+UV01P5dPYwWtVRLYNq0aTQ2NjJ79mwmTpzI/PnzGTZsWJsx8+bNW6nt1FNP5dRTTwXg9NNP58QTT+yMWzMzMzMzszWcEwOrQFI/4D1SZfx7I+I+SVtGxKuSdgbuA14CglRB/0ukrRgB3omIw7N+LgfuIu0Q8ATwbM5l6iLis5I2Aa7P+tiPtFvDZcARpB0Uvr+K9/A1YFlEXJXTdiiwZ0RMyhnfrIiYXkR/WwNfi4hv57WfCEwF9iKVG7g37/gw4KcRcWhO2++BcyPiuZy2HwPXt1YIsjUNDQ0w/PBVObVT1FYX/oorKysZO3YsAKNHj6aqqmqlxEChmLlz57Z43muvvUZtbS1lZWtfMUYzMzMzM1v9vJSgnST1AW4D9iE97C+TNAC4WtJJwDLgHuB8YCZwC7BvROyXbbd4VE531wFfBJYWuFQjQET8G/gp8HlSoqGnpAOBQ4C9Jd0n6cwWxjpS0muSKiXVFug//7qNQIOkHpKuAP5XZFJgfVKy4sK89q1JWy/WA3OBydnWibnOATaW9HNJpZK2JG03ubGkLbMdLACmAFMklbQ1nnVJfX09Q4YMAaCkpITa2vw/Y+GY1s678sorl88cMDMzMzMz84yBdsiSAncCl0fE/ZIOAD4NfBe4BDgIaH7LvQ8pQUDetowN2cPuR4BBEfEFSaXAHcA/c+KasmtuDDxOmoHwO+BsYDOgNCJGtTHkRuAPEfFVSX+V9CXg40ADsAvQJOm9iLg577wfA09GxHVtfysAnAZcGhFv5rVfAXw325WgVtLNwG8lHRMRyySNAzYkfVd9gIuysX0EOAYYBRwJvBARiyRdAHyTlHTpFvr378+SJWnji8WLF9PUtPIOn4ViWjqvqamJBx98kB/96EeddAdmZmZmZram84yBdoiI94AxwKuSzie9/d+R9LZ8EemB9b9Z+F7AK8CD2Rv7OkkPAw8CxwKvA9+WtAtwI2lZwJeAzwFHA8dLOgjYBvgDMCC7xkZAf+Bfku6U9B9J+7Yw5Ebgs5IqgU0j4nrg/yLirKzPWyPiZklHS3oE+AlwIrAncFI27kpJf5G0Xytfzc4RMTu3QdI3gTrSsorm7+9nwAvAI9mSi2eBJ7O2SaSkwBWkpRU/zY415pxfA2zbyjjWOWVlZVRVVQFQU1PD0KFDi4pp6byHH36YT33qU50ydjMzMzMzWzt4xkA7SNoTmAx8lDRt/sfZoSHABOBK4NWs7TZgJLA/qR7BTFJSoSki3sn6O5z0dnwpaR3+Z4AaoIT0Jr0pIqolHUz6Wy0DBgJDI+IUSWOBf2SzF64mJReaPQDM4P0ZA3Oy2gh/kjQy974i4lbg1iwRsQdwATCbtATi3SK+moa872lrYDRp9sTfJA0izYbomYVcAWxAqquwHqlewu3Ace29VmskTSD9XaBf/gqGtcOYMWMoLy9nwYIFzJgxg4qKCiZNmrTC7gP5MXPmzEHSSm0A9957LyNHjmzpcmZmZmZm1g05MdAOEfEXYF9JdwHjyKb7Z7ZmxYfWPwI/IyUNXs/aDiUlCk7OPh9MehA/Hfg98DZpBkJf4Lyct/CnALNINQZqgA9Jui+7Zp2kSRGx0t5zknJfDSsilki6EvhEG/fZJOlXpHX932gtNtMgaUBELMrOfxk4LBvDI8DHI+KCLGFwWUTclB0bAOwNlGb/hVRocRvg5uy/P8i5n/UBFTGe5vu4BrgGQKUlUex5a5KSkhIqKyuZOXMmZ511FoMHD2aXXXZpNWbAgAEABdu8hMDMzMzMzPJ5KcGqu5isIF7281DOsRJSzYC7SW/Df5u13wN8WtK2WZ2Bc0hT+xcCPwL+Q1qW8Ebe1PxDsmPLRcQBwG+ASRHR0gb3vXh/KcGQ7LxrI+L+Vu5rgKTrgDeBDST9LHsgb83N2b0UchzQvBPBFsC/cu5hUUT8hLTk4k9AFen7qszO+yawOKevbwG3tjGWdU5paSljx45l8ODB7Yop5jwzMzMzMzMnBlZNzxbae2TH/kcqqAfwx4hYQnpIbyQVKTyKNAvgsYj4b1ZgcBHpwfkW4GFJW0vqJWkL0kyC/Ujr9XuRZg5A22/Pe5KWEowCrs07VujcjwDjScUO7wBOJT2YV7e2G0BE/JlUyPCrK1wgbYnYEBGPZk0fJScxkMUMAsqAcyKiItuFobnfWyPiP1nceGDjiJjR6h2bmZmZmZlZu3gpwarpBZzJyksJbiFLGkTEm5JuJG0v2Fzd/52I+BWApA2AvpJ6k7YtrCEVH3ydVGvge6R196XA/aTq/F8GrgZ+lNUn+Dzvz0YopBr4Rzae5ZX8JX0e+BrvL2lo9ifgwYh4JqftXEk/ioj61r6QiDhX0q5Z/wKmkQoxHpe1fZ+0jOKLeaf2I82SyJ310Iu0S0Gux5u/OzMzMzMzM1t9lHaSs/aQtF5ELO3qMZDexq+8f13b5/YjFTZ8b/WPbPk1NmgrmdCZem+ycTTsXdbVw2jRZqUDWXhtRVcPw8zMzMzM1lGSHo+I4YWOecbAKujqpMAHHUO2tKFDrUlJAYBdtt6G6qkzu3oYZmZmZmZmaxzXGDAzMzMzMzPrxpwYMFtDjR8/nhEjRjB5ckubThSOyW+76qqrGDVqFKNGjWLXXXflK19ZaWdLMzMzMzPrxryUwLqFmpdfREft39XDWEFrdQWmTZtGY2Mjs2fPZuLEicyfP59hw4a1GTNv3ryV2k499VROPfVUAE4//XROPPHEjr41MzMzMzNbizgxYO0iqXdELJPUCyAiGnKPAY35BREl9QfezY3tbA0NDTD88K66fEG11dNbPFZZWcnYsWMBGD16NFVVVSslBgrFzJ07t8XzXnvtNWpraykrW3OLMJqZmZmZWefzUoJuQtKlkj6W/f5pSb8sENNPUo8s9oCsbcu8sBsl7UzaKvFuSTWSnpV0L3A38OHsvNyk06XAfjnX6dnCGCdL2q2FY0/lfX6mUNy6or6+niFDhgBQUlJCbW1tUTGtnXfllVcunzlgZmZmZmbWzImBbiB7EN8HeC5reg9oyIvpA9yWxTUCyyQNAK6WdFJO6PeAQ4FpwDeAPwI/A8YDx0TEC1nczZLullQJDAG+KqlS0p3A+S0MdTgwIG9czQmG/J0UFjffm6QvS1KrX8Japn///ixZkm558eLFNDWtvCtloZiWzmtqauLBBx9kn3326aQ7MDMzMzOztYUTA93DEcAGwP2SFmW/I6lH9t8+wJ3ANRFxPxDAp4GpwOXAzpKGZMsIXoyIHwMlwLHZz0dID/uXNF8wIo4Bvk1KQBweEZ/JDn0tIia1MtafS6pq/gG+39xlXlxTNgPiPqC8+Z7WFWVlZVRVVQFQU1PD0KFDi4pp6byHH36YT33qU50ydjMzMzMzW7u4xsA6Lnvj/k3STICFwMNAPVAK3CNpTES8I2kM8FFJ5wNHAY8BlwGLgPMj4q1sqv/+wIMRcQ7wPUkHRMSZkj4H7JZdc29gEmlmwlbA9Kz+wDDgcknrAZdFxD0Fhnx6RFQWaO+XJQr6ATcAm5MSEd+JiMdauPcJwIR0dt/iv7Q1wJgxYygvL2fBggXMmDGDiooKJk2atMLuA/kxc+bMQdJKbQD33nsvI0eO7KrbMTMzMzOzNZgi8l/E2rpE0teApcAI4C5gF9IygBNJb9uPJc0KmAx8FLiQFZcZHApcGRGzsv72AvYHXgAGARuSkgd9STNQnomIO7LYg4H8egKNETEjZ3xnA4dlH3cEXs36A/htRFyVxc2JiD1yzlvhc5vfQ2lJcPaFxYZ3jurpxNSZLR6uq6tj5syZjBw5ksGDBxcdU8x5ZmZmZmbWvUh6PCKGFzrmGQPrvisioknSk8C9wPakNf9ExHRJI4A+EbGvpLuAcUDugvatyatHQJrW/0fS8oFdc9qfjIgf5Xy+DPhO3rk/JytQmNkKuKQ5mdBM0onZsW6rtLR0+Q4D7Ykp5jwzMzMzM7NmTgys43K2DiwDJkfE65KG5IR8J1acNnIxsCzn87EFuh0DrA98HNgvIhqyJQt35sX1JxUozLV+/hBbGX7+toe9gBNIsxRy2wcDb+Rvk2hmZmZmZmZtc/HBdZykXpImAbtFxMXNzc3H85ICBbcRZMV/J6Wkdf4/LuLyr0fEqNwf4N8F4i6SNCf3h7T7wfJ7IM0e+CtptsGvSTUH1ssKKF4HHFTEeMzMzMzMzCyPZwys+0aS3rx/OaetD9C7QGwv4ExWXkpwS87nLYFxEVGXPbDfKylIyYb8LQO3ybYrzLVF3uc+wNktLCUYBpDNSLgU+E1EvJEdvwO4P7vmi6RlEi3q1asXDdXTWwvpdJuVDuzqIZiZmZmZmbn4oL1P0noRsXR1xUvqFxFLVs/oPpjhw4dHdXV1Vw/DzMzMzMysS7RWfNBLCWy59iQFiolfU5ICZmZmZmZm1jInBsy62Pjx4xkxYgSTJ09uV0xL502cOJE//elPHTZeMzMzMzNbt7jGgHULNS+/iI7av8uuv1npQBZeW7FS+7Rp02hsbGT27NlMnDiR+fPnM2zYsDZj5s2bV/C8hx9+mIULF3LYYYd11q2ZmZmZmdlazokB+8AkKdbwYhUNDQ0w/PAuu35tC4UPKysrGTt2LACjR4+mqqpqpcRAoZi5c+eu1DZ06FC+/OUvc8ghh/DHP/6RI444ogPvyMzMzMzM1hVODHQTkp4FXstr/lhEDMmO3wFsCARpiUkvYCmp6n+fiNgrp69S4HrgyIhoAu6WNDEi/pl3zceArwAXA++StjlcAqwHXBQR90v6EnAGsAAYQtoR4XXStohVEfH1AvdSDuyRs/3iWqu+vp4hQ4YAUFJSwvPPP19UTKG2X//61+ywww6cddZZ/PznP+eVV17h9NNP77ybMTMzMzOztZITA93Hu8CsvLYhzb9ExBgASf2BGcDvIuKq/E4k9QTeAmqAnSS9R3rYf0lSr2xrwV5ACfA/YKOI2E9SH2B2ROyb12UDcFlEXCfpFODdiLhR0ijg0Bbu5XHg+KLvfA3Wv39/lixJNRoXL15MU1NTUTGF2ubOncuECRMYPHgwxx13HOeee64TA2ZmZmZm1iYnBrqX/MTAuNwPknYHfk2aOfCspAeAPwK/jIj3srAJwDGkmQXHZG0LgQeBJ4FvAJ8CPp8dmyjpBWB3UjIhXwBnSjoO2AJoknQisBFwT87YPgQ8Afwjp60q+3U4sEFENLZx/2ucsrIyqqqq2GOPPaipqWG77bYrKmbLLbdcqW399dfnxRdfBKC6upqtt966s2/HzMzMzMzWQk4MdB8vApfktdUCSNoe+A6wM2nq/0nZ8eOAycDTkk6KiIezWQRXZeedCBARN+b1+wmgGvg4cDkwIOt/nqRvAb+NiNosNoCLW5gxcFBOn0uB+yPiGPJIeqFQUkDSBFIiA/r1bel76VJjxoyhvLycBQsWMGPGDCoqKpg0adIKOw3kx8yZMwdJK7X16NGDL33pS1RUVLBs2TKmTp3ahXdmZmZmZmZrC63hNePsA5L0MdLDcUtv03sAzwNvkx7YmyRdB9wcEZVZH+XAwoiYL+ke0rIEgK1J9QL+lX3eAGieu76AtBxhP0lfBspIiajfA6dFxOFZ3ycCvVpKDETEOVncpsDT5MwYyLFbRGzQ6vdQWhKcfWFrIR2rejoxdWbBQ3V1dcycOZORI0cyePDgomOKOc/MzMzMzAxA0uMRMbzgMScG1m2S1gP6A4cAfwM2B8qBHwE9SQ/2i0nLB+YD8/K62BHYNSJeLtD3PcBA4ICIqCtwfBbwfeAC0iyE8yLiZEk3ATMj4mZJpwGnkpYj5BcfnJmTGPgocG5EnFDgOvOAXbJCiIW/hzU4MWBmZmZmZtbRWksMeCnBOi4ilgJvZlP4TyAVChxLeoMv4LqIuE1SP2BuRIzKPT97+G/MaxPpYX8ucB8wS9KXI+KJAkPYg1SLoGdO29eBZdnvOwCnRERVG0sJdmPlpEWzT7aWFDAzMzMzM7OWOTHQDUg6lJQQ+BWpAOHNEfGDvLAmYHdJc/Lat8/ppyepqOApwJ0RcUnW/jXgVkmvAhMj4tnslL4RcWkWswUpEUFEvJW1iZQ4OLP5Es0xpH+buQmJzwPfLXR/EbGk9W/AzMzMzMzMWuLEwDpO0takooP7kwr9fQMYLekQoB8wCLgSuBp4ooUZAz0BIqIxm1kwLiIWNMdExCOSdiRtL/hczunr5/zeh5X/ve0D/DUi3sk+/w9YJmloNuavZ2M4DOgdEc+xinr16kVD9fRVPf0D26x0YJdd28zMzMzMrDWuMdANSBoUEf9pI6YHsGFELOqkYTVfd71suUNrMQOA/hHx2qpeZ/jw4VFdXb2qp5uZmZmZma3VXGOgm2srKZDFNAGdmhTIrttqUiCLWUQXjM3MzMzMzKw76NHVAzDrLsaPH8+IESOYPHlyu2Ly2xoaGthqq60YNWoUo0aNYt68lmoympmZmZmZtc2JAbNOMG3aNBobG5k9ezYLFixg/vz5RcUUanvqqac49thjqayspLKykp122qkL7sjMzMzMzNYVXkpg3ULNyy+io/bv8OtsVjqQhddWrNReWVnJ2LFjARg9ejRVVVUMGzaszZi5c+eu1LZkyRL+8Ic/8Mgjj7D11ltz00030auX/1c2MzMzM7NV46eJtZykM4C3I+Lq7PM3gbci4oacmB8BD0fEDEkfAqZExBdW8XqnAb8lbSs4JGu+CfgC6d/TixHxjqSDgPsjYll23k+BSyLi1Zy+Ngduyen+AOCvQF32eXdg04h4d1XGmquhoQGGH/5Bu2lTbQs7H9TX1zNkSPq6SkpKeP7554uKKdS277778uc//5nNN9+c0047jbvvvpvDD+/4ezMzMzMzs3WTlxKsxSTdBXwJOFXSnZLuBE4Gvinp5iymJ3Ag8LikMcASYNkHuOzfgduBTYHRQDmwIWnrwf2B/lncR4BpknpnY7iRlDxAUp8spgfwarZF4mKgEXgvIkZlbc8A77Vy/5tJevgD3Eun6d+/P0uWLAFg8eLFNDU1FRVTqG3nnXdm8803B2D77bcvuCzBzMzMzMysWE4MrMUi4lDgGuAuYEr2Mwu4LCKOy8LGkh6wBYzL2raUdJGkW1fhmveTkhFvAocDY4BB2X/3j4g3srgrgVOALwP3ZuP8iqR7gXuy7hrz+m4EmiRNkjQJGBIt7KcpqZQ0U2GD9t5DVygrK6OqqgqAmpoahg4dWlRMobbjjz+empoaGhsb+cMf/sAuu+zSafdhZmZmZmbrHi8lWDf05f039c1v45vfzJ8BPA3sDHyC9DBdAkwFLm3PRSQdDhwMTMuueQfp4f410hKAXpJGZ9f7OfCLiPgF8AtJo4CDIuKcvG73lTQLaH66FVCd/d7acodG4Gjgj+25h64yZswYysvLWbBgATNmzKCiooJJkyatsPtAfsycOXOQtFLbzjvvzLhx44gIDj/8cPbbb78uvDMzMzMzM1vbOTGwbjgUKMt+3xKYk/3+SeA20lKCzwJzgQnAJcCT5L2xb0tETJe0MTAgIqZKqgIassPbAU9GxM8BJB0PlEjaE/gJKWExSFIZ8GZEHJ2dd39EHJctg4CUcOib/d7ijJaI+F92nRbHK2lCdr/Qr2+LcZ2hpKSEyspKZs6cyVlnncXgwYNXetOfHzNgwACAldoGDBjAU0891RW3YWZmZmZm6yAnBtZS2br95oXqUyLixqz9G9l/ewCPAM8CHwPOA67I4nsBVwOPf4DrbwA01w4AGJhdB4CIeE/S+RExEShvZcbAAVmCYYece2ouULh0VceXjeEa0hIGVFpScElCZyotLV2+w0B7Yoo5z8zMzMzMbFU5MbD2+iJwFBCAJB2VtStrOxr4BfCXvPN6ZTFnAD0lbRgRb0s6DBjYnGBow6mkHQn6AM21DPqSChOmQUj70va/r97AfdmMgVOAHYBnI6I666O+iLGYmZmZmZnZB+Dig2upiLghKz54HzAvIj4TEZ8hVfG/MyIOjog/5ZzSCAwA3gBOjIg3ScUIz8iOH0kqFtiWMtLD+8+AupwdBI7JizuPtGShNQuA07L7+SXwVeD3AJI+BZRmv+8gaXJLnZiZmZmZmdmq84yBtZSkvsDvSDsOnJtzaBxwiaQbI+JEYD2gb0TUSXqOtEOAsrX5bwETs/POBC4s4tI/A17Kfu+T0/4dsiUAkg4C/hcRz2XbCS4lFTzcSNJwYH3gmmx2wqLsnA15v6AhpG0QfwIQEc8AkwoNJktKmJmZmZmZ2SpSC7vB2VpA0tCIeKmFY5tFRG07+vokMD8i6lZxLD2z7Qabsw6bR8SCVemrI/TeZONo2Lus7cAPaLPSgSy8tqLDr2NmZmZmZtYekh6PiOEFjzkxYN3B8OHDo7q6uu1AMzMzMzOzdVBriQHXGDAzMzMzMzPrxpwYMOtg48ePZ8SIEUye3HL9xEIxLZ1XW1vLbrvt1mHjNTMzMzOz7sXFB61bqHn5RXTU/h3Wf0u1BaZNm0ZjYyOzZ89m4sSJzJ8/n2HDhrUZM2/evBbPO+OMM1iyZEmH3YuZmZmZmXUvTgxYt9DQ0ADDD++w/murpxdsr6ysZOzYsQCMHj2aqqqqlRIDhWLmzp1b8LwHHniADTbYgMGDB3fYvZiZmZmZWffipQTdhKQzJH0l5/M3JZ2UF/MjSQdnv39I0m8/wPVOk7SRpFJJH89+Hpe0ffb7+lncQZJ655z3U0lb5vW1uaTKnJ/1JNXkfP5ftn3jGqe+vp4hQ4YAUFJSQm3tyhtFFIop1LZ06VIuuOACpkyZ0nk3YGZmZmZm6zwnBroBSXcBXwJOlXSnpDuBk4FvSro5i+kJHAg8LmkMsARY9gEu+3fgdmBTYDRQDmwI7APsD/TP4j4CTJPUOxvDjcAXsjH1yWJ6AK9GxChgMdAIvBcRo7K2Z4D3PsBYO0z//v2XT/tfvHgxTU1NRcUUapsyZQqnnXYaG220UaeN38zMzMzM1n1ODHQDEXEocA1wFzAl+5kFXBYRx2VhY0kP2ALGZW1bSrpI0q2rcM37ScmIN4HDgTHAoOy/+0fEG1nclcApwJeBe7NxfkXSvcA9WXeNeX03Ak2SJkmaBAyJNXTfzbKyMqqqqgCoqalh6NChRcUUaps1axZXXnklo0aN4sknn+Tkk0/utPswMzMzM7N1l2sMdC99ef9NffPb+OY382cATwM7A58AbgJKgKnApe25iKTDgYOBadk17yA93L8G/BXoJWl0dr2fA7+IiF8Av5A0CjgoIs7J63ZfSbOAXZovA1Rnv3+hhXFMACYA0K9rVhqMGTOG8vJyFixYwIwZM6ioqGDSpEkr7DSQHzNnzhwkrdQ2bty45eeMGjWK6667rituyczMzMzM1jFaQ1+02mom6RukN/MLs6YtgckRcaOkcmAEaSnB34HBpAfqS0hv8u+LiH3aeb0TgcURMVVSFdCQHeoNPBkRp2VxfUgJiG2Bn5ASFoOAF4A3I+JoSYOBSyLiOEl3RsRnJNUA38/6vCgitmt1PKUlwdkXtucW2qd6OjF1ZsFDdXV1zJw5k5EjR7ZYNLBQTDHnmZmZmZmZFUPS4xExvNAxzxhYx2Xr9psXtk+JiBuz9m9k/+0BPAI8C3wMOA+4IovvBVwNPP4Brr8B0Fw7AGBgdh0AIuI9SedHxESgvJUZAwdkCYYdcu7p1ezY0lUdX2coLS1dvsNAe2KKOc/MzMzMzOyDcmJg3fdF4CggAEk6KmtX1nY08AvgL3nn9cpizgB6StowIt6WdBgwsDnB0IZTgSGkWQDNtQz6kmYlpEFI+9L2v8PepFkLx0k6BdgBeDYiqrM+6osYi5mZmZmZmRXg4oPruIi4ISs+eB8wLyI+ExGfIVXxvzMiDo6IP+Wc0ggMAN4AToyIN0nFCM/Ijh9JWpLQljLSw/vPgLqcHQSOyYs7j7RkoTULgNOy+/kl8FXg9wCSPgWUFjEeMzMzMzMzK8AzBtZxkvoCvyPtOHBuzqFxwCWSboyIE4H1gL4RUSfpOdIOAZIE8BYwMTvvTKCYxfo/A17Kfu+T0/4dsiUAkg4C/hcRz0l6mLQkoATYSNJwYH3gmmx2wqLsnA15v6AhpG0Qf9LWYHr16kVD9fQihr1qNisd2GF9m5mZmZmZdSQXH+wGJA2NiJdaOLZZRNS2o69PAvMjom4Vx9Iz226wOeuweUQsWJW+2mP48OFRXV3ddqCZmZmZmdk6yMUHu7mWkgLZsaKTAln8Yx9wLI05vwdpmYCZmZmZmZl1EdcYMOtA48ePZ8SIEUyePLldMS2dV1tby2677dZh4zUzMzMzs+7HMwasW6h5+UV01P4d0vdmpQNZeG3FSu3Tpk2jsbGR2bNnM3HiRObPn8+wYcPajJk3b16L551xxhksWbKkQ+7DzMzMzMy6JycGrE2S1gO2j4inss9DSIUKX+jakRWvoaEBhh/eIX3XtlDUsLKykrFjxwIwevRoqqqqVkoMFIqZO3duwfMeeOABNthgAwYPHtwh92FmZmZmZt2TlxJYMdYDbpC0Ufb5O8AOzQclbSxpf0mDck+S9KykyryfhZJ27ryhd536+nqGDBkCQElJCbW1K5dzKBRTqG3p0qVccMEFTJkypfNuwMzMzMzMugXPGLAWSfoOsD/QBLwDTM22L/wksL2krwMPAp8B7gQukzQ6Iv6ddVEbEaPy+rwRqM/5vDHwCjAoIt7Nju8CvEva1nAccG3Wtpi0deKx2fWOi4hXs3Oui4iq1fsNfDD9+/dfPu1/8eLFNDU1FRVTqG3KlCmcdtppbLTRRp02fjMzMzMz6x48Y8Ba83/AN4AfkGYJTIqI/SKiBPgc8CPgKeCbEXEhcC+we875JfkzBoCDgMacmP2BPsDInLbTI2JPUiJgv5y2cuBR4Aur9S47SFlZGVVVKVdRU1PD0KFDi4op1DZr1iyuvPJKRo0axZNPPsnJJ5/cafdhZmZmZmbrNs8YsBZlb/B/BNxGmjFwrqQDgYuAC4ATIuIEAEkjSTMJLsjp4s2I2C+3z+ztfq6DgCuz/96XEyegP7A0L76UNMOgTZImABMA6Ne3mFNWqzFjxlBeXs6CBQuYMWMGFRUVTJo0aYWdBvJj5syZg6SV2saNG7f8nFGjRnHdddd1+v2YmZmZmdm6yTMGrC0NwCjSm/s+pGUFGwKR/TQ/xB8NLGPF2QDrF9H/nsBkYN+ctp8DLwG1wAPNbZIezvq8pZiBR8Q1ETE8IobTp3cxp6xWJSUlVFZWsscee/Dggw+yyy67rLT9YH7MgAEDCrblqqys7MS7MDMzMzOzdZ1nDFgxzgcWAdMKHYyIAE6T9ENSvYFbs0NbSZqVF74DaWkCWRHCQcBUYKikD2UxpwN7Ae9FRGR1DU7PrSEgKfKHsWq31rFKS0uX7zDQnphizjMzMzMzM1sdnBiwYnwDeA/YhPRvZvm/G0lnA69HxK+BjUjFAZH0YWBuRByW21HeUoIDgR9FxGVZUuHAnGNXAw9LuryFMdUC25AKFG4DLFy1WzMzMzMzM+vevJTA2tIDOD8izgHeiIiFETEGUHb8GuB4SQ8BPXm/TsAE4PYC/fXi/bf7B/L+UoEHSHUGAIiIuqztyBbGdTFwqaS/kBIQL6zCvZmZmZmZmXV7njFgbekPIOn7wOvZ7/2A3wI3ZA/w++eekM0WOAA4L6etD/BI9nEhQG5hwoh4kLT1ITltX8t+vS1/UBHxOPCJYm+iV69eNFRPLza8XTYrHdgh/ZqZmZmZmXUGpeXhZquXpN4RsSyvrUdENHXFeIYPHx7V1dVdcWkzMzMzM7MuJ+nxiBhe6JiXEliHyE8KZG1dkhQwMzMzMzOzljkxYNZBxo8fz4gRI1baorCtmJbOq62tZbfdduuw8ZqZmZmZWffkGgPWLdS8/CI6av+2A9tps9KBLLy2YqX2adOm0djYyOzZs5k4cSLz589n2LBhbcbMmzevxfPOOOMMlixZstrvwczMzMzMujcnBqxbaGhogOGHr/Z+a1soaFhZWcnYsWMBGD16NFVVVSslBgrFzJ07t+B5DzzwABtssAGDBw9e7fdgZmZmZmbdm5cS2BpF0lclTSjQvomkaTmffy3pU5KO6dwRFqe+vp4hQ4YAUFJSQm1tbVExhdqWLl3KBRdcwJQpUzrvBszMzMzMrNtwYsC6nKR9Jf1LUiXwNeBbkiolvSSp+TX/ROD/sq0QAZYBdcDWkoZ0/qhb179//+XT/hcvXkxT08p1FwvFFGqbMmUKp512GhtttFGnjd/MzMzMzLoPJwZsTdAAzAROAX4L3JT9fifQKOljwEDgPeBGSfsBw4AfAx8FvtcVg25NWVkZVVVVANTU1DB06NCiYgq1zZo1iyuvvJJRo0bx5JNPcvLJJ3fafZiZmZmZ2brPNQZsTfAc8AAwHNiaNBtgODAHeAr4CjAC+DwwCjgZWAhcDjwC7CJpq4h4JbfTbElCWpbQr28n3Mb7xowZQ3l5OQsWLGDGjBlUVFQwadKkFXYayI+ZM2cOklZqGzdu3PJzRo0axXXXXdep92JmZmZmZus2RURXj8G6OUnfA/bNPm4BNJEe/AHuiYgpknYH9gcuIc0mGJsdXwD8C7g+Iv7e4jVKS4KzL1z9g6+eTkydWfBQXV0dM2fOZOTIkS0WDSwUU8x5ZmZmZmZm7SHp8YgYXvCYEwPW1STdBPw4Iv4u6RTg3Yi4UdKupNoClwJ3Ab8B5gNvAAIOBR4DyiPi1Fav0QWJATMzMzMzszVFa4kBLyWwNUEP4HpJ7wBDgCZJxwH9gadJRQbPAF4E3o6If0rqCVwJbAcc2TXDNjMzMzMzW/s5MWBrgv8D/hER9ZJOBZZkMwZKgG2A3YEvAD2BNyWdA1wIvESqTzBM0rCImNo1wzczMzMzM1t7OTFgXS4insj52DOn/X/Ak5I2AZ6NiJclfYhUqPC7EXGnpO8D99PGrIFevXrRUD19tY99s9KBq71PMzMzMzOzzuQaA7bWkaTI+YcrqW9EvNvaOcOHD4/q6uqOH5yZmZmZmdkaqLUaAz06ezBmH1TkZbPaSgqYmZmZmZlZy5wYMOsA48ePZ8SIEUyePLldMS2dV1tby2677dZh4zUzMzMzs+7LiQGz1WzatGk0NjYye/ZsFixYwPz584uKae28M844gyVLlnTmbZiZmZmZWTfh4oPrCEmbAv+NiMbV1F9pRNStjr7WBDUvv4iO2n+19rlZ6UAWXluxUntlZSVjx44FYPTo0VRVVTFs2LA2Y+bOnVvwvAceeIANNtiAwYMHr9bxm5mZmZmZgRMDay1JAnpHxNKs6Rrgh8Dj2fFeQFNENEm6FLguIp6V9Gng+Ig4Ja+/nwFXkrYAXAZ8V1JlRNwlqTfQmPU1JLvG3/OGtB3wiYh4tY1xbw18LSK+3c77/TFwfUSs/Pq9CA0NDTD88FU5tUW1LexyUF9fz5AhQwAoKSnh+eefLyqmUNvSpUu54IILuOOOOxgzZsxqHb+ZmZmZmRk4MbA22wz4raRlwFakv+WPJH0KmJN9/oakZ4F9gLOy894DGgr0dxtwJiDgw6QH/Z0knU7aQvBs4AlgaYFzm7U6W0HS+sBlwJezzzcCG0TE5yVVAM1FBHcBFgG1wLhsFsQU4HpJJ2XbGK6x+vfvv3za/+LFi2lqaioqplDblClTOO2009hoo406bfxmZmZmZta9uMbAWioiFkbEvqSHbAHnARcDjwLTI2K/iPgbcASwAXC/pEXZ70ha/reX9GGgV0R8OSJOBmaTEgnjgIciYv+IeCILbwR+B9yc9/M7Wk8aAJwGXBoRb+a07Zz9d5ecttMjYhRQBxyQ3e8i4ALgm0V8PV2qrKyMqqoqAGpqahg6dGhRMYXaZs2axZVXXsmoUaN48sknOfnkkzvtPszMzMzMrHvwjIG1VLZUYDwpMfASaRbARsCvgBGSHgUmkx6k9wEWAg8D9UApcI+kMRHxDmkWwUWSbgP6AScBTwNHARtLGhARZ0s6gZQsWARskT8k0gyGn0XEjBaGvXNEXJzXtlTSQNLyhXyDsvECEBE1ks5o/ZvpemPGjKG8vJwFCxYwY8YMKioqmDRp0go7DeTHzJkzB0krtY0bN275OaNGjeK6667rilsyMzMzM7N1mPK2hLe1hKQtgdOBG4G7gKeyQz2Au4E7SYmDWmBEFrMLMA04EbgPODYijs366wNsCAwG3gFebi5kKOknwNkREZI+BlwEPAQMIyUEngNGZjHPtjLmGyLipJzPN5KSU7OBPXl/KcIuWfvbwN4RsaylPtr4jiYAEwDo17eM835SzGnFq55OTJ1Z8FBdXR0zZ85k5MiRLRYNLBRTzHlmZmZmZmbtJenxiBhe6JhnDKylsiJ/Z0saCvwHeDI71JO0O8Grkn6YFQx8ErgX2B4Ykp0/XdIISaMiopL0UH5GRJwjaRYwR9KfgPMi4tCcS/cAyoASYFNSYuCjpCRBzzaG3ZDNPliU0/YEKVFxC+8vJzg9Iqok/RQ4h1RUsblGgYr8ioiIa0hFGVFpSadmwEpLS5fvMNCemGLOMzMzMzMzW52cGFhLSdqI9Na/Adgc2Jv0cN8D2FPSt0g1B6aRHuQnR8Tr2a4Czb4T708ZOYb04N6bNH2/F+khPP+B+m3geuC/wG7Z9R4nTftvqyjgzaQH/e/ktD0BXEoqfLhLXnwdaRZDs28Bt7ZxDTMzMzMzM2sHJwbWUhHxVrYDwWDSNoPHk5YAHA/sBZwK9JQ0CRiaFRWEnDfuzUkBSf2AM4B9gYNIuxoMaI6TtCmwe0TcA4wGRpGSEM0zBj5EShBUA6+0MuY/SzpA0lcj4oqs+SXSUoSXc0J/Lumd7Pdx2RjGAxu3Ur/AzMzMzMzMVoETA2u3XqQigT2BZ4HFpDf6vYGfA1OBJrLtATN9suO5diC9zd8GmAQcDJyb9d+HNDPhCkm7kxIPzUsBmqf2L84+ny7ptYj4a0sDjohzJe2a/X5i1rxd9t8TC5zS7PGI+FUrx83MzMzMzGwVuPjgWk7StsC/c9ftSxKwSUS80c6++gLr520nuE7ovcnG0bB32Wrtc7PSgSy8tmK19mlmZmZmZtYRXHxwHRYRzxdoC6BdSYHsvHeBd1fHuNY0u2y9DdUt7CBgZmZmZmbWnfXo6gGYWcvefPNNZs6cyX/+85+uHoqZmZmZma2jnBgwW83Gjx/PiBEjmDx5crti8ttef/11Dj30UB577DH22Wcf/v3vf3f42M3MzMzMrPvxUgJbo0gqBd6LiHeKiO0fEYvbigOoeflFdNT+H3h8zVqqLzBt2jQaGxuZPXs2EydOZP78+QwbNqzNmHnz5q3U9vLLL/N///d/7LHHHtTV1fHEE09w4IEHrrZ7MDMzMzMzAycGrItJ2oy0G0JzFcyzgRpJ92SfewB/B/oCV0TE57LzegD3Sdo/Iurbuk5DQwMMP3y1jbu2enrB9srKSsaOHQvA6NGjqaqqWikxUChm7ty5K7WddNJJADz00EM89thjnHfeeatt/GZmZmZmZs2cGLCuNhDYHWjMPt+b/XfX7L89gVrSlojLJG0OXAbUAwuBn0laD7gzIm7rrEG3pL6+niFDhgBQUlLC88+vVBuyYExL50UEt956K71796Znz56ddBdmZmZmZtadODFgXSoingGekTQXWJRzqDfwYkQcL+lY4BxgMPDtiDhW0mHAPcBHgX9FxP86e+yF9O/fnyVLlgCwePFimpqaiopp6TxJXHnllXzve9/jzjvv5Oijj+6kOzEzMzMzs+7CxQdtTfEE6UE/9+c5gIi4BbgVeBA4R9I44FTSbIIPAw9K+nBXDDpfWVkZVVVVANTU1DB06NCiYgq1XXTRRfz6178G4K233mKjjTbqlHswMzMzM7PuxTMGrEtJGgD8Mfv4kQLH9wU+BxxEWnZwPTAfOC8i3pX0FnApsFKxQkkTgAkA9OvbAaNf2ZgxYygvL2fBggXMmDGDiooKJk2atMLuA/kxc+bMQdJKbU1NTYwdO5brrruOj3/84xxwwAGdcg9mZmZmZta9KCLajjLrINkuBDdExJhseUDzQvqIiD9KmkqaLXA4aXnBXcAtwJ+BfYFHgEMjYmGr1yktCc6+cPUNvHo6MXVmwUN1dXXMnDmTkSNHMnjw4KJjijnPzMzMzMxsVUh6PCKGFzrmpQTW1XIzU6cBb2U/5+S09wKuBIiI30REA3At8DAwra2kQGcrLS1l7NixrT7cF4op5jwzMzMzM7PVzUsJrKsp5/c+wA+y35tyjs8gzRYQgKS+wDCgBCiR1D8iFnfKaM3MzMzMzNYxnjFgXW35HnwRsU9EjMp+Pi3pC8DWwNukpEEfSceRZgo8B2yf/fchSV6Ab2ZmZmZmtgpcY8DWWJJ6RkRjXlsfYFlENOW0CVJRgpb66r3JxtGwd9lqG9tmpQNZeG3FauvPzMzMzMysI7VWY8BLCWyNlZ8UyNreK9DWZnZrl623obqFYoFmZmZmZmbdmZcSmJmZmZmZmXVjTgyYtWH8+PGMGDGCyZMntyumUFttbS3l5eUdOl4zMzMzM7P26PaJAUklRcRsK+mjnTGeYkkaJGn3Duy/v6RvFRG3XoG2Xs3r/rPPvSWNzH4fLmm71TvattW8/CI6av8WfwZ/+ZiC502bNo3GxkZmz57NggULmD9/flExhdrq6uo44YQTqK+v7+jbNTMzMzMzK1qH1RiQ9CzwWl7zxyJiSHb8DmBD0j72PbKxLCVtSdcnIvZqx7U2AeYDT7YQ8jFgv4iYJ2lrYHxEnJcdu1fSuIj4Z05/WwDjcs7/BDAkG3OzqRHxUt44yoE9IuLidox9a+BrEfHtAsdOB5ZExHUFTh0GHAc8Ial3RCyTNDsiRuT18SLwSvZxY+CKiLgmO/ZL4P+Ad4BHSd9hj4goB74InCLphoioy+vzIuC+iLgf+IWkW7Lfm50I/ETSU8BOwJXA9tlYvgpclfXTnr/bj4HrI2LlJ/MiNDQ0wPDDWzxeWz29YHtlZSVjx44FYPTo0VRVVTFs2LA2Y+bOnbtS25FHHsmtt97KEUccsSq3YGZmZmZm1iE6svjgu8CsvLYhzb9ExBhIb6ZJ+9T/LiKuKtSRpM2AeyJit+xN9M+A3YE3gGOAxaSHy4Mi4l1JY4G7I2KxpM8CRwJLsu6+ANRkb7o/DuwAXNs8cyAiPgkMBvYDpgBjgMfJHmYzE7K2l/KG+jhwfBvfS+59rQ9cBnw5p61XRDRkH5cBDa0cay66d6ekw4B3JPXOvpu/ZpX7/wXcmMXtBCyVdAxQkvX9XvZzH/BrYHdJGwKfA04ArpF0dEQ0SeoHXEd6mG+UVAocBizOrg/wp4i4TtKYiPiMpDtJf6/jgZGkhMYASRvQvr/bFOB6SSdFxP+K/Y4/qPr6eoYMSf9sS0pKeP7554uKKdRWUtLm5BQzMzMzM7NO19G7EuQnBnLfwpNNhf81aebAs5IeAP4I/DKv+vwlQL/s932BoRGxl6QLgM8Dt2fHbpd0KvBN4MOSfgdMBGqz621Aemi+IzunP+lh/mvAGcDNWT//Bn4FLCA9HL8IHJAd+yNwLfBy1ueHgCeAf+TcV1X263Bgg0LV9TOnAZdGxJvZeRsDf5C0DOgLfDprP5H0EN9b0tFZ+3eBwZLqSEmCcaQH/1uze/xwdo2lwN+z3zci/c0bsvZmzVv/HQb8EvgF8OOI+Ev21v8uSV8h/Z3KgT2Bz5ISBBOBY7Mx/B3YHrgf6CtpFinJUkKaFfIV4N5snI8DzXPqW/27AUTEouzv/U3g/Ba+z9Wuf//+LFmSchOLFy+mqampqJhizjMzMzMzM1sTdGRi4EXSA32u5gf07YHvADuTHhZPyo4fB0wGns7eDD8saTTpAXJhFjMKqMx+/znQO6f/s4GpwN2kt+A3Ab8hJRMAvgXsmh0/FhgEzANmA7+PiAcAIuJfkj4MTAceIz2Ev5dd7+a8qfVLgfsjYqVF6pJeaCUpALBz7rKDLEGwd3buaaRlFT2AqyPilpx+7yAtDziB9NZ9b+BB4PmI+Jykypwt/OYDt2X3AilxsFkL4xkObAOsD/xAUgXwHOlhvpz0kH8GaZbFQ6QZF41AFXAEaTnCoqyvd5tnDGTLNC6TtDNwY0S8kt1H3yy2rb9b8/dTI+mMFr/NDlBWVkZVVRV77LEHNTU1bLfdyuURCsVsueWWbZ5nZmZmZma2JljtiQFJHyNNtf9n9pN//DLgedJsgpOyKeonAUTEAuBL2Vr9hdl0//NI0/nvyLrYBHhJ0vGkN+43k6a3ExF/k/Q2UE2aGn8+KQHQ/IB5EekB9BTgadJ0+Uuz8z8l6SfAtIiYQ0piHEp6OH8Q2AA4Jn+9PWk6/745swRyDW7j62oo1ChpIDAWaE4GnCppRkS8ld1no6TmB/8bgJERcamkg/P6EekhfyFpBgKkZEL+TI5mNwEfAr6QTe2fGhFHSeoTEe9J2pY0m2IH4CPAnaQlFl8mzVhYj/cTA32zZQRbSTqF9DfcmVSroQn4CfBIdj9t/d3a/M4KkTSB9G8R+vVtPbgFY8aMoby8nAULFjBjxgwqKiqYNGnSCjsN5MfMmTMHSSu1mZmZmZmZrYk6YsbAC8APgUOAvwGbk942/wjoSXp4XEyall4naV523uSskP2OwK4R8bKk84ArI+KtnCL3i4ANs3Xs/ya95QZA0kdIb/DPIr1pf50V1/xvSHrYnk1KKnwoG9+A7Ph2wIaS9gIOJj0ANwFfB/4DfEHShaR179dGxG9I0/PvjogT8r8ISfMk9cjW+hfSIGlARCzKOacPKdnxvez675JmXvxB0ucj4j+5HUTEGzlJguZlB6XZx+NID98bAH8GhpIezhtJCY98FaTkwNHZcoZdJd1DSn4cnH1X5wB7kWZSlJOWBGxPSp6UkP62kDNjAPhNRPxS0t+Bioj4VTbWvtl/2/q7Nd/b+i2Mu6CsyGIqtFhaEm2EF1RSUkJlZSUzZ87krLPOYvDgweyyyy6txgwYkP45FWprbjczMzMzM1tTrPbEQEQsBd5U2uruBNJD9FigjPRQd11E3JYVspsbEaNyz88eRJun3+8HjM6m1e8q6TrgT8CppGr6Kz6hwcXAN0gPwBeSit1dwfvr6d8hzRB4jbQmfgnwmYj4gaShwJkRMTObsfAsKWGwJ2m9e7NtgT2yvgB2Iy1HKOSTrSQFICUAziEtq0DSNqSaCw9m49+YlJhYRHrL/1dJn4uIuaQEyy7ZDgHN+pCWGHw2+zwzu/+bSGvzjyW94f8v7xf1ayZSYuAe0vKDN4Bzs3OfzmJeI31/r5KWc/yXNPvjDtKsgTOAJZJ2BLaWdFP2/YyV9DTpb3eEpN9GxLs5127r79bsW6SlEJ2qtLR0+Q4D7Ykp5jwzMzMzM7Ou1iE1BiQdSnrw/BXpgfbmiPhBXlgTqQJ+/hzr7Zt/iYiROX1WRsTJ2fT4gyT9hfRw/iDpobYn8NOI+Iekt4BTIuIN0kNp88PkENLD60vA1dkYv5jNEOhLtm1eRDwMPCzp48C3I6IydxzAczlr+D9PqkGwkojIf/jOP/5nSQdI+mpEXJF9Jz+LiN9n1zqN9Oa9+Q37LcB8SYcAZ5IekqcBV0naCjg5u/8xkiaSdnv4P9Kb+J+SbQfZXEtBUvP+fT1IswKOJiU+pgBHZd/rE0CFpBMj4oXsvOa39guA35KSGf8lLS94i5RQ+RFpqUEFqV7AfcCXSLMg/pQtL1hAcX83JI0HNo6IGa19p2ZmZmZmZtY+HVFjYGvS1Pf9SQ+b3yC99T+EtLPAINK+9lcDT7QwY6Bnfr/NcdkD+al552wCNEbEQ1lMLe8XOrwG2Jo0PX0JcGxEPJMdGwH8OmfGwLl5l+0F/DR7YG22K2k3g7eVtujrHRHPFfPdFBIR50raNfv9JVbcArF56UVzbPPOB3dnP2T3cTPpzX7zM/s7pIJ+z5AKD/6MVNRvRvM9SvoGsAXpexqY9V8vaTHwRVI9htcj4rVsrf6bOePqTyr6OC677gNZ3/dHRPMOCI9m1xlIqi8wvfn+JG0BfBT4H8X93QAeb06QmJmZmZmZ2eqj9198r8ZOpUH5a+ELxPQg1QpY1FpcR5LUm/Rg/04Lx3sBTS0tB5A0AOgfEa914DC7hKSebeyosFbpvcnG0bB3WYvHNysdyMJrKzpxRGZmZmZmZp1H0uMRMbzQsQ5ZStBWUiCLaV4732UiYhmp1kBLx1utgJ8lNbr0HjrKupQUANhl622onjqzq4dhZmZmZma2xunR1QMwMzMzMzMzs67jxICZmZmZmZlZN+bEgJmZmZmZmVk35sSAmZmZmZmZWTfmxICZmZmZmZlZN+bEgJmZmZmZmVk35sSAmZmZmZmZWTfmxICZmZmZmZlZN+bEgJmZmZmZmVk35sSAmZmZmZmZWTfmxICZmZmZmZlZN+bEgJmZmZmZmVk35sSAmZmZmZmZWTfmxICZmZmZmZlZN+bEgJmZmZmZmVk35sSAmZmZmZmZWTfmxICZmZmZmZlZN+bEgJmZmZmZmVk35sSAmZmZmZmZWTfmxICZmZmZmZlZN+bEgJmZmZmZmVk35sSAmZmZmZmZWTfmxICZmZmZmZlZN6aI6OoxmHU4SW8D/+jqcdhqMQj4T1cPwj6w/2/vXmPlqMs4jn+fQFHKtRAs1EuR2NQLlCMiIlI5goSSYEyJiOIltt4wiPJCE6pEiTFajCEYA5KCWhE1NqiJGoxW65FqEaVBFLQ1vKAoBqtEJCUmkPr4YqaytHvOmc52Zruz38+b3Z0zs/P88+tsts/8Z8ccu8Msu8Ecu8Ecu8Msu2F/y3FhZh7T7w8Htl2JNCRbM/PUYRehwUXE3WY5+syxO8yyG8yxG8yxO8yyG0YpRy8lkCRJkiRpjNkYkCRJkiRpjNkY0LhYM+wCtM+YZTeYY3eYZTeYYzeYY3eYZTeMTI7++KAkSZIkSWPMGQOSJEmSJI0xGwOSJEmSJI0xGwPqhIj4ckRsioir9madKtupPXVyjIgjIuJHEbE+Ir4XEQe1V7H6qXs8lsvnR8Q9zVepKgbM8oaIeEPzVWo2NT9b50XE7RGxMSJubK9azaRilvMjYmPP6zkR8cNyu5XtVKqZ1MzxBRExFREbImJNREQ71WomdbLsWX5iRPyk2QqrszGgkRcRFwIHZOYZwIKIWFRlnSrbqT11cwTeBlybmecCjwDL2qxbzzRAjrt8Hji4nWo1k0GyjIilwLGZ+YNWi9YeBsjxHcCtmbkUOCwiRuI+3F1WMct5wNeAQ3oWXw7cXW53QUQc1krB6muAHN8PfCAzzwaeD5zURr2a3gBZUjZ2rgX2mxNaNgbUBZPAuvL5BuDMiutU2U7tmaRGjpl5Q2auL5cdA2xvsEbNbpJ6xyMRcTbwBEWDR8M3SY0sI2IOcBPwYES8seEaNbtJ6h2TjwKLI+JIiv+EPNRkkapkktmz3AlcDDw+zXabAJs8wzVJjRwz8+OZ+afy5dHAPxusUdVMUu+YBFgB/LyxymqwMaAuOAR4uHz+ODC/4jpVtlN76uYIQES8GpiXmb9uskjNqlaO5SUgnwCubLxCVVX3mHwn8Efgc8BpEXF5w3VqZnVz/CWwCPgQsAX4V7NlqoJZs8zMxzPz33u7nVpVN0cAIuJi4P7M/FtzJaqiWllGxNHA2ylmSe43bAyoC3bw9NTjQ+n/77rfOlW2U3vq5khEHAV8EfDayeGrm+OVwPWZ+VjTBaqyulm+HFiTmY8AtwKva7hOzaxujp8BLs3MT1E0BlY0XKdmV/d7i9939i+184iIE4CPAFfs+7JUQ90sVwOrMvOpRqqqyQ8GdcFmnp66czLwYMV1qmyn9tTKsTzTvI7iA3Zb00VqVnWPx9cDl0XEFDARETc3WqWqqJvlA8AJ5bJTAY/L4aqb41zgpIg4AHgVkI1WqSrqfm/x+87+pVYe5bXq3wJWTjebQK2re2ydBVzT853n0/u+tL0XmX7Oa7RFxOHARuBnwPnAW4CLMvOqGdY5neJLzjOW+UE7PAPkeAnFma17y9W+lJnfbrF09aibY++xFxFTmTnZZt3a0wDH5H+Br1BMqZwDvCkzH0ZDMUCOi4GvAguBO4Hlmbmj3erVq0qWPev+/3M0IhYCtwM/Bc6g+Mzd2VbdeqYBcryG4lKtreWfP5mZv2ilaPVVN8sqy4fBxoA6oeyingvcUU5frbROle3Unro5av9ijt1hlt1gjt1RN6eIWEBxZvPHngQZPo+37uhSljYGJEmSJEkaY/7GgCRJkiRJY8zGgCRJkiRJY8zGgCRJGkkRcUREbIiIqYhYvpfbTkTEREOl9e7nuobfv5VxSJK67cBhFyBJklTTycCmfr8AXcFE+fi7fVZNH5l5RZPvT0vjkCR1mz8+KEmSRk5EfBhYARxJce/oi4AngFuA5wB/yMzLIuJQYB3wbGBbZq6IiM8Cu2YYPJyZ50TE1cBUZk5FxLsAMnNteZ/p3wJLMvO8iJi7+z5mqbP3dmObge3Ak8CxFPcknwAOp7i94z2Z+cGIeBawFlgA/BVYkZlP9qml3zj6jfdqiltHngkcASwDHiv38bzy+ZvL96k8NklSd3gpgSRJGjmZ+QXgCmBtZk5m5j+A9wH3ZeZrgeMiYglwHHA9xT2mj4+I+Zm5ClgNrM7Mc2bZ1enAnZl5Xvm63z6qmkvRwFgCXEIx4wHgtsx8DfDCiHgF8N5yH2cBfwZW9qtlmnHsMd5y+YvK9/smcHY5jnsz80zgO8CJA45NkjTCbAxIkqSuWAwsL8+snwA8F3gKeA/wDeAo4OAK79O7zn2Z+d1Z9lHV3zNzB7AN2AlEuXxz+fh74HjgpcBd5bK7gJdMU0s/0433lvJxO3AQ8GLgN+WytRQzEQYZmyRphNkYkCRJXbEVuK6cun8V8BDwbuA24K0Ulxrs8h+KM/hERFBM7z+s/NuynvV2VNjHoE4rHyeAB4D7KWYHUD7eP00tsOc4phvvE7tttwV4Zfn8YxTNhCbGJkkaATYGJElSV9wEnB8RdwCXAn8B1gOrgA3lOrvOgq8HLoyIXwFLge8DH42IG4FH93Ifg7qgrGNLZt4L3Ay8rNzHIooz+tPZfRzTjXd3a4BTytkBpwBfp5mxSZJGgD8+KEmSNCQRsRa4OjMfHHIpkqQxZmNAkiRJkqQx5qUEkiRJkiSNMRsDkiRJkiSNMRsDkiRJkiSNMRsDkiRJkiSNMRsDkiRJkiSNMRsDkiRJkiSNsf8Bf0gSjwcz6GwAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 1080x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n",
      "(dot.exe:15484): Pango-WARNING **: couldn't load font \"MicrosoftYaHei Not-Rotated 14\", falling back to \"Sans Not-Rotated 14\", expect ugly output.\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "'ans1\\\\语音通话清晰度决策树图.pdf'"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "YY=Y3\n",
    "DT=DecisionTreeClassifier( criterion='entropy')\n",
    "\n",
    "see1=DT.fit(X,YY)\n",
    "\n",
    "y_pred=DT.predict(X)\n",
    "\n",
    "print(classification_report(y_pred,YY))\n",
    "\n",
    "# 重要性\n",
    "features_import = pd.DataFrame(X.columns, columns=['feature'])\n",
    "features_import['importance'] = DT.feature_importances_  # 默认按照gini计算特征重要性\n",
    "allcol=dinglei+dingliang\n",
    "def getcol(x):\n",
    "    for i in allcol:\n",
    "        if i in x:\n",
    "            return i\n",
    "\n",
    "features_import['feature']=features_import['feature'].apply(lambda x:getcol(x))\n",
    "features_import=features_import.groupby('feature').sum().reset_index(drop=False)\n",
    "features_import.sort_values('importance', inplace=True)\n",
    "# 绘图\n",
    "from matplotlib import pyplot as plt\n",
    "plt.rcParams['font.sans-serif'] = ['SimHei']  # 显示中文黑体\n",
    "# plt.rcParams['axes.unicode_minus'] = False # 负值显示\n",
    "fig, ax = plt.subplots(figsize=(15, 10))\n",
    "\n",
    "plt.barh(features_import['feature'], features_import['importance'], height=0.7, color='#008792', edgecolor='#005344') # 更多颜色可参见颜色大全\n",
    "plt.xlabel('feature importance') # x 轴\n",
    "plt.ylabel('features') # y轴\n",
    "plt.title('语音通话清晰度 Feature Importances') # 标题\n",
    "for a,b in zip( features_import['importance'],features_import['feature']): # 添加数字标签\n",
    "    plt.text(a+0.001, b,'%.3f'%float(a)) # a+0.001代表标签位置在柱形图上方0.001处\n",
    "plt.savefig('./ans1/语音通话清晰度featureimportance')\n",
    "plt.show()\n",
    "\n",
    "\n",
    "dot_data = tree.export_graphviz(see1, out_file=None,feature_names=X.columns, filled=True, rounded=True)  # 重要参数可定制\n",
    "\n",
    "dot_data = dot_data.replace('helvetica', 'MicrosoftYaHei')\n",
    "graph = graphviz.Source(dot_data)\n",
    "graph.render(view=True, format=\"pdf\", filename=\"./ans1/语音通话清晰度决策树图\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "id": "766dcb8b-051e-4c4a-9ef0-a9ec355e69fe",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "           1       1.00      1.00      1.00       230\n",
      "           2       1.00      1.00      1.00        49\n",
      "           3       1.00      1.00      1.00        83\n",
      "           4       1.00      1.00      1.00        93\n",
      "           5       1.00      1.00      1.00       201\n",
      "           6       1.00      1.00      1.00       228\n",
      "           7       1.00      1.00      1.00       309\n",
      "           8       1.00      1.00      1.00       654\n",
      "           9       1.00      1.00      1.00       786\n",
      "          10       1.00      1.00      1.00      2800\n",
      "\n",
      "    accuracy                           1.00      5433\n",
      "   macro avg       1.00      1.00      1.00      5433\n",
      "weighted avg       1.00      1.00      1.00      5433\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n",
      "(dot.exe:13488): Pango-WARNING **: couldn't load font \"MicrosoftYaHei Not-Rotated 14\", falling back to \"Sans Not-Rotated 14\", expect ugly output.\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "'ans1\\\\语音通话稳定性决策树图.pdf'"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "YY=Y4\n",
    "DT=DecisionTreeClassifier( criterion='entropy')\n",
    "\n",
    "see1=DT.fit(X,YY)\n",
    "\n",
    "y_pred=DT.predict(X)\n",
    "\n",
    "print(classification_report(y_pred,YY))\n",
    "\n",
    "\n",
    "\n",
    "# 重要性\n",
    "features_import = pd.DataFrame(X.columns, columns=['feature'])\n",
    "features_import['importance'] = DT.feature_importances_  # 默认按照gini计算特征重要性\n",
    "allcol=dinglei+dingliang\n",
    "def getcol(x):\n",
    "    for i in allcol:\n",
    "        if i in x:\n",
    "            return i\n",
    "\n",
    "features_import['feature']=features_import['feature'].apply(lambda x:getcol(x))\n",
    "features_import=features_import.groupby('feature').sum().reset_index(drop=False)\n",
    "features_import.sort_values('importance', inplace=True)\n",
    "# 绘图\n",
    "from matplotlib import pyplot as plt\n",
    "plt.rcParams['font.sans-serif'] = ['SimHei']  # 显示中文黑体\n",
    "# plt.rcParams['axes.unicode_minus'] = False # 负值显示\n",
    "fig, ax = plt.subplots(figsize=(15, 10))\n",
    "\n",
    "plt.barh(features_import['feature'], features_import['importance'], height=0.7, color='#008792', edgecolor='#005344') # 更多颜色可参见颜色大全\n",
    "plt.xlabel('feature importance') # x 轴\n",
    "plt.ylabel('features') # y轴\n",
    "plt.title('语音通话稳定性 Feature Importances') # 标题\n",
    "for a,b in zip( features_import['importance'],features_import['feature']): # 添加数字标签\n",
    "    plt.text(a+0.001, b,'%.3f'%float(a)) # a+0.001代表标签位置在柱形图上方0.001处\n",
    "plt.savefig('./ans1/语音通话稳定性featureimportance')\n",
    "plt.show()\n",
    "\n",
    "\n",
    "dot_data = tree.export_graphviz(see1, out_file=None,feature_names=X.columns, filled=True, rounded=True)  # 重要参数可定制\n",
    "\n",
    "dot_data = dot_data.replace('helvetica', 'MicrosoftYaHei')\n",
    "graph = graphviz.Source(dot_data)\n",
    "graph.render(view=True, format=\"pdf\", filename=\"./ans1/语音通话稳定性决策树图\")"
   ]
  },
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   "cell_type": "code",
   "execution_count": null,
   "id": "40960f89-7d6b-4c64-b054-5d5ba2fab0d3",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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